QA-prompting: Improving Summarization with Large Language Models using Question-Answering


QA4IE: A Question Answering based Framework for Information Extraction


QACE: Asking Questions to Evaluate an Image Caption


QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking


QACP: An Annotated Question Answering Dataset for Assisting Chinese Python Programming Learners


QAConv: Question Answering on Informative Conversations


QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering


QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines


QAEncoder: Towards Aligned Representation Learning in Question Answering System


QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps


QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization


QAGAN: Adversarial Approach To Learning Domain Invariant Language Features


QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs


QAGait: Revisit Gait Recognition from a Quality Perspective


QAHOI: Query-Based Anchors for Human-Object Interaction Detection


QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization


QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing


QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers


QAOA with fewer qubits: a coupling framework to solve larger-scale Max-Cut problem


QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines


QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA


QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization


QAQ: Quality Adaptive Quantization for LLM KV Cache


QARV: Quantization-Aware ResNet VAE for Lossy Image Compression


QASC: A Dataset for Question Answering via Sentence Composition


QASem Parsing: Text-to-text Modeling of QA-based Semantics


QASiNa: Religious Domain Question Answering using Sirah Nabawiyah


QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models


QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits


QAmeleon: Multilingual QA with Only 5 Examples


QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays


QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-Resolution


QBI: Quantile-Based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning


QBIT: Quality-Aware Cloud-Based Benchmarking for Robotic Insertion Tasks


QBMMlib: A library of quadrature-based moment methods


QC-StyleGAN -- Quality Controllable Image Generation and Manipulation


QCBA: Improving Rule Classifiers Learned from Quantitative Data by Recovering Information Lost by Discretisation


QCFE: An efficient Feature engineering for query cost estimation


QCMATH: Mathematica modules for electronic structure calculations


QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs


QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction


QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition


QChecker: Detecting Bugs in Quantum Programs via Static Analysis


QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design


QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version


QD3SET-1: A Database with Quantum Dissipative Dynamics Data Sets


QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL


QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites


QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition


QDM: Quadtree-Based Region-Adaptive Sparse Diffusion Models for Efficient Image Super-Resolution


QDNN: DNN with Quantum Neural Network Layers


QDarts: A Quantum Dot Array Transition Simulator for finding charge transitions in the presence of finite tunnel couplings, non-constant charging energies and sensor dots


QDataset: Quantum Datasets for Machine Learning


QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization


QE-CONVERSE: An open-source package for the Quantum ESPRESSO distribution to compute non-perturbatively orbital magnetization from first principles, including NMR chemical shifts and EPR parameters


QE4PE: Word-level Quality Estimation for Human Post-Editing


QEA: An Accelerator for Quantum Circuit Simulation with Resources Efficiency and Flexibility


QEBVerif: Quantization Error Bound Verification of Neural Networks


QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing


QED: A Framework and Dataset for Explanations in Question Answering


QEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature Spaces


QERaman: An open-source program for calculating resonance Raman spectra based on Quantum ESPRESSO


QFFT, Question-Free Fine-Tuning for Adaptive Reasoning


QFold: Quantum Walks and Deep Learning to Solve Protein Folding


QFuzz: Quantitative Fuzzing for Side Channels


QGFN: Controllable Greediness with Action Values


QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core


QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers


QHDOPT: A Software for Nonlinear Optimization with Quantum Hamiltonian Descent


QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models


QIGen: Generating Efficient Kernels for Quantized Inference on Large Language Models


QISS: Quantum Industrial Shift Scheduling Algorithm


QITE: Assembly-Level, Cross-Platform Testing of Quantum Computing Platforms


QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead


QKDNetSim+: Improvement of the Quantum Network Simulator for NS-3


QKFormer: Hierarchical Spiking Transformer using Q-K Attention


QKVA grid: Attention in Image Perspective and Stacked DETR


QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search


QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning


QLEVR: A Diagnostic Dataset for Quantificational Language and Elementary Visual Reasoning


QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining


QMC-consistent static spin and density local field factors for the uniform electron gas


QMCTorch: Molecular Wavefunctions with Neural Components for Energy and Force Calculations


QMKPy: A Python Testbed for the Quadratic Multiple Knapsack Problem


QML Essentials -- A framework for working with Quantum Fourier Models


QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates


QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling


QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization


QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification


QMagFace: Simple and Accurate Quality-Aware Face Recognition


QMamba: On First Exploration of Vision Mamba for Image Quality Assessment


QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images


QMetro++ -- Python optimization package for large scale quantum metrology with customized strategy structures


QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models


QMol-grid: A MATLAB package for quantum-mechanical simulations in atomic and molecular systems


QNCD: Quantization Noise Correction for Diffusion Models


QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer


QOCO: A Quadratic Objective Conic Optimizer with Custom Solver Generation


QOMIC: Quantum optimization for motif identification


QONNX: Representing Arbitrary-Precision Quantized Neural Networks


QOSST: A Highly-Modular Open Source Platform for Experimental Continuous-Variable Quantum Key Distribution


QPEs as Lense-Thirring precession of super-Eddington flows


QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation


QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information


QPLEX: Duplex Dueling Multi-Agent Q-Learning


QPLEX: Realizing the Integration of Quantum Computing into Combinatorial Optimization Software


QPOML: A Machine Learning Approach to Detect and Characterize Quasi-Periodic Oscillations in X-ray Binaries


QPRAC: Towards Secure and Practical PRAC-based Rowhammer Mitigation using Priority Queues


QPT V2: Masked Image Modeling Advances Visual Scoring


QPack Scores: Quantitative performance metrics for application-oriented quantum computer benchmarking


QPack: Quantum Approximate Optimization Algorithms as universal benchmark for quantum computers


QPanda: high-performance quantum computing framework for multiple application scenarios


QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs


QQQ: Quality Quattuor-Bit Quantization for Large Language Models


QR and LQ Decomposition Matrix Backpropagation Algorithms for Square, Wide, and Deep -- Real or Complex -- Matrices and Their Software Implementation


QR factorization of ill-conditioned tall-and-skinny matrices on distributed-memory systems


QR$^2$-code: An open-source program for double resonance Raman spectra


QREChem: Quantum Resource Estimation Software for Chemistry Applications


QRMine: A python package for triangulation in Grounded Theory


QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics


QRtree -- Decision Tree dialect specification of QRscript


QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation


QSFit: Automatic analysis of optical AGN spectra


QSTToolkit: A Python Library for Deep Learning Powered Quantum State Tomography


QScatter: Numerical Framework for Fast Prediction of Particle Distributions in Electron-Laser Scattering


QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management


QSpeech: Low-Qubit Quantum Speech Application Toolkit


QStore: Quantization-Aware Compressed Model Storage


QSweep: Pulse-Optimal Single-Qudit Synthesis


QSym$^2$: A Quantum Symbolic Symmetry Analysis Program for Electronic Structure


QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices


QT-DoG: Quantization-aware Training for Domain Generalization


QT-Routenet: Improved GNN generalization to larger 5G networks by fine-tuning predictions from queueing theory


QTIP: Quantization with Trellises and Incoherence Processing


QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters


QTRAJ 1.0: A Lindblad equation solver for heavy-quarkonium dynamics


QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image Segmentation


QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition


QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results


QU-net++: Image Quality Detection Framework for Segmentation of Medical 3D Image Stacks


QUAD: A Quality Aware Multi-Unit Double Auction Framework for IoT-Based Mobile Crowdsensing in Strategic Setting


QUAD: Quantization and Parameter-Efficient Tuning of LLM with Activation Decomposition


QUADOL: A Quality-Driven Approximate Logic Synthesis Method Exploiting Dual-Output LUTs for Modern FPGAs


QUADS: QUAntized Distillation Framework for Efficient Speech Language Understanding


QUANT: A Minimalist Interval Method for Time Series Classification


QUANTAS: Quantitative User-friendly Adaptable Networked Things Abstract Simulator


QUARC: Quaternion Multi-Modal Fusion Architecture For Hate Speech Classification


QUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly


QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution


QUBO formulations for numerical quantum computing


QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing


QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs


QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search


QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation


QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents


QUEST: Query Stream for Practical Cooperative Perception


QUIC Hunter: Finding QUIC Deployments and Identifying Server Libraries Across the Internet


QUIC-Exfil: Exploiting QUIC's Server Preferred Address Feature to Perform Data Exfiltration Attacks


QUIC-Fuzz: An Effective Greybox Fuzzer For The QUIC Protocol


QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference


QUICstep: Circumventing QUIC-based Censorship


QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models


QUILL: Quotation Generation Enhancement of Large Language Models


QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression


QUITS: A modular Qldpc code circUIT Simulator


QUSL: Quantum Unsupervised Image Similarity Learning with Enhanced Performance


QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks


QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning


QWID: Quantized Weed Identification Deep neural network


QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs


QWalkVec: Node Embedding by Quantum Walk


QZO: A Catalog of 5 Million Quasars from the Zwicky Transient Facility


Qade: Solving Differential Equations on Quantum Annealers


Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting


Qibolab: an open-source hybrid quantum operating system


Qibosoq: an open-source framework for quantum circuit RFSoC programming


Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task


Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare


Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model


Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions


Qimaera: Type-safe (Variational) Quantum Programming in Idris


Qimax: Efficient quantum simulation via GPU-accelerated extended stabilizer formalism


Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples


Qini Curves for Multi-Armed Treatment Rules


Qini curve estimation under clustered network interference


Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks


QmeQ 1.0: An open-source Python package for calculations of transport through quantum dot devices


Qmod: Expressive High-Level Quantum Modeling


QoE-Aware Resource Allocation for Semantic Communication Networks


QoS-Aware Resource Placement for LEO Satellite Edge Computing


QoS-aware Dynamic Fog Service Provisioning


QonFusion -- Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion


Qrisp: A Framework for Compilable High-Level Programming of Gate-Based Quantum Computers


Qrlew: Rewriting SQL into Differentially Private SQL


Qsnail: A Questionnaire Dataset for Sequential Question Generation


Qsyn: A Developer-Friendly Quantum Circuit Synthesis Framework for NISQ Era and Beyond


Qtok: A Comprehensive Framework for Evaluating Multilingual Tokenizer Quality in Large Language Models


Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes


QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning


QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games


QuALITY: Question Answering with Long Input Texts, Yes!


QuASE: Question-Answer Driven Sentence Encoding


QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge


QuCAT: A Combinatorial Testing Tool for Quantum Software


QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity


QuCumber: wavefunction reconstruction with neural networks


QuDiet: A Classical Simulation Platform for Qubit-Qudit Hybrid Quantum Systems


QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning


QuForge: A Library for Qudits Simulation


QuGIT: a numerical toolbox for Gaussian quantum states


QuGStep: Refining Step Size Selection in Gradient Estimation for Variational Quantum Algorithms


QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View


QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks


QuIP: 2-Bit Quantization of Large Language Models With Guarantees


QuISP: a Quantum Internet Simulation Package


QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning


QuNetSim: A Software Framework for Quantum Networks


QuOCS: The Quantum Optimal Control Suite


QuOTeS: Query-Oriented Technical Summarization


QuRating: Selecting High-Quality Data for Training Language Models


QuSBT: Search-Based Testing of Quantum Programs


QuTI! Quantifying Text-Image Consistency in Multimodal Documents


QuXAI: Explainers for Hybrid Quantum Machine Learning Models


QuYBE -- An Algebraic Compiler for Quantum Circuit Compression


QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting


QuaLITi: Quantum Machine Learning Hardware Selection for Inferencing with Top-Tier Performance


QuaPy: A Python-Based Framework for Quantification


QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning


QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs


Quad-Net: Quad-domain Network for CT Metal Artifact Reduction


Quad-rotor Flight Simulation in Realistic Atmospheric Conditions


QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For Reinforcement Learning Algorithms


QuadTree Attention for Vision Transformers


Quadcopter Trajectory Time Minimization and Robust Collision Avoidance via Optimal Time Allocation


Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising


Quadratic Chabauty for (bi)elliptic curves and Kim's conjecture


Quadratic Constraints for Local Stability Analysis of Quadratic Systems


Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization


Quadratic Decomposable Submodular Function Minimization


Quadratic Discriminant Analysis by Projection


Quadratic Fields Admitting Elliptic Curves with Rational $j$-Invariant and Good Reduction Everywhere


Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks


Quadratic Interest Network for Multimodal Click-Through Rate Prediction


Quadratic Metric Elicitation for Fairness and Beyond


Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection


Quadratic Payments with constrained probabilities


Quadratic Programming with Sparsity Constraints via Polynomial Roots


Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs


Quadratic and Higher-Order Unconstrained Binary Optimization of Railway Rescheduling for Quantum Computing


Quadratic counts of highly tangent lines to hypersurfaces


Quadratic estimators for CMB weak lensing


Quadratic gravity with propagating torsion and asymptotic freedom


Quadratic minimization: from conjugate gradient to an adaptive Heavy-ball method with Polyak step-sizes


Quadratic models for understanding catapult dynamics of neural networks


Quadratic points on bielliptic modular curves


Quadrature Rules on Triangles and Tetrahedra for Multidimensional Summation-By-Parts Operators


Quadrature Sampling of Parametric Models with Bi-fidelity Boosting


Quadrature amplitude modulation for electronic sideband Pound-Drever-Hall locking


Quadrature by Parity Asymptotic eXpansions (QPAX) for scattering by high aspect ratio particles


Quadrature for Implicitly-defined Finite Element Functions on Curvilinear Polygons


Quadric Hypersurface Intersection for Manifold Learning in Feature Space


QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction


QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds


Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies


Quadruped Robot Simulation Using Deep Reinforcement Learning -- A step towards locomotion policy


Quadrupedal Robot Skateboard Mounting via Reverse Curriculum Learning


Quadrupedal Spine Control Strategies: Exploring Correlations Between System Dynamic Responses and Human Perspectives


Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions


Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis


Quafu-Qcover: Explore Combinatorial Optimization Problems on Cloud-based Quantum Computers


Quafu-RL: The Cloud Quantum Computers based Quantum Reinforcement Learning


QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1


Qualcomm Trusted Application Emulation for Fuzzing Testing


Qualitative Analysis of Monte Carlo Dropout


Qualitative Controller Synthesis for Consumption Markov Decision Processes


Qualitative Euclidean embedding of Disjoint Sets of Points


Qualitative Numeric Planning: Reductions and Complexity


Qualitative and Quantitative Monitoring of Spatio-Temporal Properties with SSTL


Qualitative dynamics of chemical reaction networks: an investigation using partial tropical equilibrations


Quality Assessment for AI Generated Images with Instruction Tuning


Quality Assessment for Tone-Mapped HDR Images Using Multi-Scale and Multi-Layer Information


Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity


Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices


Quality Aware Generative Adversarial Networks


Quality Aware Network for Set to Set Recognition


Quality Controlled Paraphrase Generation


Quality Diversity for Variational Quantum Circuit Optimization


Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization


Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora


Quality Estimation for Image Captions Based on Large-scale Human Evaluations


Quality Evaluation of Arbitrary Style Transfer: Subjective Study and Objective Metric


Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring


Quality Guidelines for Research Artifacts in Model-Driven Engineering


Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis


Quality Measures for Dynamic Graph Generative Models


Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data


Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP


Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets


Quality change: norm or exception? Measurement, Analysis and Detection of Quality Change in Wikipedia


Quality evaluation of Tabby coding assistant using real source code snippets


Quality-Aware Decoding for Neural Machine Translation


Quality-Aware Dynamic Resolution Adaptation Framework for Adaptive Video Streaming


Quality-Aware Memory Network for Interactive Volumetric Image Segmentation


Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics


Quality-Diversity Generative Sampling for Learning with Synthetic Data


Quality-Diversity with Limited Resources


Quality-Gated Convolutional LSTM for Enhancing Compressed Video


Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design


Quality-aware Selective Fusion Network for V-D-T Salient Object Detection


Quality-focused Active Adversarial Policy for Safe Grasping in Human-Robot Interaction


QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation


QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion


QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims


QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems


Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond


QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity


QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers


QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation


QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization


QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise


Quantformer: from attention to profit with a quantitative transformer trading strategy


Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding


Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models


Quantification and manipulation of magic states


Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules


Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation Framework


Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis


Quantification of Transducer Misalignment in Ultrasound Tongue Imaging


Quantification of follow-up time in oncology clinical trials with a time-to-event endpoint: Asking the right questions


Quantification of the expected residual dispersion of the MICADO Near-IR imaging instrument


Quantification of the helical morphology of chiral Au nanorods


Quantification under prior probability shift: the ratio estimator and its extensions


Quantification using Permutation-Invariant Networks based on Histograms


Quantification via Gaussian Latent Space Representations


Quantified Sleep: Machine learning techniques for observational n-of-1 studies


Quantify the Non-Markovian Process with Intervening Projections in a Superconducting Processor


Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?


Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage


Quantifying Attention Flow in Transformers


Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability


Quantifying Bias in Automatic Speech Recognition


Quantifying COVID-19 enforced global changes in atmospheric pollutants using cloud computing based remote sensing


Quantifying Character Similarity with Vision Transformers


Quantifying Cognitive Factors in Lexical Decline


Quantifying Community Characteristics of Maternal Mortality Using Social Media


Quantifying Consistency and Information Loss for Causal Abstraction Learning


Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models


Quantifying Context Mixing in Transformers


Quantifying Core Stability Relaxations in Hedonic Games


Quantifying Correlations of Machine Learning Models


Quantifying Differences in Reward Functions


Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications


Quantifying Divergence for Human-AI Collaboration and Cognitive Trust


Quantifying Emergent Behavior of Autonomous Robots


Quantifying Engagement with Citations on Wikipedia


Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff


Quantifying Explainers of Graph Neural Networks in Computational Pathology


Quantifying Extrinsic Curvature in Neural Manifolds


Quantifying Facial Age by Posterior of Age Comparisons


Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders


Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models


Quantifying Gender Biases Towards Politicians on Reddit


Quantifying Generalization Complexity for Large Language Models


Quantifying Generalization in Reinforcement Learning


Quantifying Health Inequalities Induced by Data and AI Models


Quantifying HiPSC-CM Structural Organization at Scale with Deep Learning-Enhanced SarcGraph


Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding


Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects


Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics


Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting


Quantifying Language Variation Acoustically with Few Resources


Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport


Quantifying Local Model Validity using Active Learning


Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment


Quantifying Model Complexity via Functional Decomposition for Better Post-Hoc Interpretability


Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style


Quantifying Non-parametric Structure of High-redshift Galaxies with Deep Learning


Quantifying Nonradiative Recombination and Resistive Losses in Perovskite Photovoltaics: A Modified Diode Model Approach


Quantifying Observational Projection Effects with a Simulation-based hot CGM model


Quantifying Overheads in Charm++ and HPX using Task Bench


Quantifying Phase Magnitudes of Open-Source Focused-Probe 4D-STEM Ptychography Reconstructions


Quantifying Positional Biases in Text Embedding Models


Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning


Quantifying Privacy Risks of Prompts in Visual Prompt Learning


Quantifying Process Quality: The Role of Effective Organizational Learning in Software Evolution


Quantifying Representation Reliability in Self-Supervised Learning Models


Quantifying Semantic Emergence in Language Models


Quantifying Semantic Query Similarity for Automated Linear SQL Grading: A Graph-based Approach


Quantifying Similarity between Relations with Fact Distribution


Quantifying Spatial Audio Quality Impairment


Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance


Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks


Quantifying Spatial Under-reporting Disparities in Resident Crowdsourcing


Quantifying T cell morphodynamics and migration in 3D collagen matrices


Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing


Quantifying Uncertainty for Temporal Motif Estimation in Graph Streams under Sampling


Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning


Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture


Quantifying Uncertainty in Natural Language Explanations of Large Language Models


Quantifying Uncertainty: All We Need is the Bootstrap?


Quantifying User Password Exposure to Third-Party CDNs


Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers


Quantifying With Only Positive Training Data


Quantifying age-specific household contacts in Aotearoa New Zealand for infectious disease modelling


Quantifying and Characterizing Clones of Self-Admitted Technical Debt in Build Systems


Quantifying and Enhancing Multi-modal Robustness with Modality Preference


Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage


Quantifying and Improving Transferability in Domain Generalization


Quantifying and Learning Linear Symmetry-Based Disentanglement


Quantifying and Mitigating Privacy Risks of Contrastive Learning


Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective


Quantifying and managing uncertainty in piecewise-deterministic Markov processes


Quantifying biomolecular diffusion with a "spherical cow" model


Quantifying cell cycle regulation by tissue crowding


Quantifying disparities in intimate partner violence: a machine learning method to correct for underreporting


Quantifying dynamical high-order interdependencies from the O-information: an application to neural spiking dynamics


Quantifying dynamical spillover in co-evolving multiplex networks


Quantifying high-order interdependencies on individual patterns via the local O-information: theory and applications to music analysis


Quantifying human gray matter microstructure using NEXI and 300 mT/m gradients


Quantifying identifiability to choose and audit $ε$ in differentially private deep learning


Quantifying kinematic substructure in star-forming regions with statistical tests of spatial autocorrelation


Quantifying knowledge synchronisation in the 21st century


Quantifying local and global mass balance errors in physics-informed neural networks


Quantifying lottery tickets under label noise: accuracy, calibration, and complexity


Quantifying metadata relevance to network block structure using description length


Quantifying mixing and available potential energy in vertically periodic simulations of stratified flows


Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks


Quantifying national space heating flexibility potential at high spatial resolution with heating consumption data


Quantifying navigation complexity in transportation networks


Quantifying patient and neighborhood risks for stillbirth and preterm birth in Philadelphia with a Bayesian spatial model


Quantifying polarization across political groups on key policy issues using sentiment analysis


Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison


Quantifying protocols for safe school activities


Quantifying redundancies and synergies with measures of inequality


Quantifying replicability and consistency in systematic reviews


Quantifying societal emotional resilience to natural disasters from geo-located social media content


Quantifying sources of uncertainty in drug discovery predictions with probabilistic models


Quantifying spectroscopic Ca II exocomet transit occurrence in two decades of HARPS data


Quantifying stored energy release in irradiated YBa$_2$Cu$_3$O$_7$ through molecular dynamics annealing simulations


Quantifying syntax similarity with a polynomial representation of dependency trees


Quantifying the Alignment of Graph and Features in Deep Learning


Quantifying the Blockchain Trilemma: A Comparative Analysis of Algorand, Ethereum 2.0, and Beyond


Quantifying the Carbon Emissions of Machine Learning


Quantifying the Causal Effect of Financial Literacy Courses on Financial Health


Quantifying the Chirality of Vibrational Modes in Helical Molecular Chains


Quantifying the Consistency and Characterizing the Confidence of Coronal Holes Detected by Active Contours without Edges (ACWE)


Quantifying the Corpus Bias Problem in Automatic Music Transcription Systems


Quantifying the Dynamics of Harm Caused by Retracted Research


Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach


Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders


Quantifying the Effects of Working in VR for One Week


Quantifying the Effects of the 2008 Recession using the Zillow Dataset


Quantifying the Gain in Weak-to-Strong Generalization


Quantifying the Global Support Network for Non-State Armed Groups (NAGs)


Quantifying the Impact of Biobanks and Cohort Studies


Quantifying the Impact of Frame Preemption on Combined TSN Shapers


Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters


Quantifying the Influence of Combined Lung and Kidney Support Using a Cardiovascular Model and Sensitivity Analysis-Informed Parameter Identification


Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs


Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level


Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects


Quantifying the Performance Benefits of Partitioned Communication in MPI


Quantifying the Persona Effect in LLM Simulations


Quantifying the Plausibility of Context Reliance in Neural Machine Translation


Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent


Quantifying the Relevance of Youth Research Cited in the US Policy Documents


Quantifying the Resolution of a Template after Image Registration


Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition


Quantifying the Safety of Trajectories using Peak-Minimizing Control


Quantifying the Spread of Online Incivility in Brazilian Politics


Quantifying the Transit Light Source Effect: Measurements of Spot Temperature and Coverage on the Photosphere of AU Microscopii with High-Resolution Spectroscopy and Multi-Color Photometry


Quantifying the Vulnerabilities of the Online Public Square to Adversarial Manipulation Tactics


Quantifying the `end of history' through a Bayesian Markov-chain approach


Quantifying the amount of visual information used by neural caption generators


Quantifying the benefit of load uncertainty reduction for the design of district energy systems under grid constraints using the Value of Information


Quantifying the contributions to diffusion in complex materials


Quantifying the dust in SN 2012aw and iPTF14hls with ORBYTS


Quantifying the dynamics of topical fluctuations in language


Quantifying the effect of X-ray scattering for data generation in real-time defect detection


Quantifying the error of the core-valence separation approximation


Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness


Quantifying the high-dimensionality of quantum devices


Quantifying the informativity of emission lines to infer physical conditions in giant molecular clouds. I. Application to model predictions


Quantifying the intrinsic randomness of quantum measurements


Quantifying the overall effect of biotic interactions on species distributions along environmental gradients


Quantifying the performance of machine learning models in materials discovery


Quantifying the redundancy between prosody and text


Quantifying the relative importance of the spatial and temporal resolution in energy systems optimisation model


Quantifying the structural stability of simplicial homology


Quantifying the structure of controversial discussions with unsupervised methods: a look into the Twitter climate change conversation


Quantifying the visual concreteness of words and topics in multimodal datasets


Quantifying tissue growth, shape and collision via continuum models and Bayesian inference


Quantifying treatment differences in confirmatory trials under non-proportional hazards


Quantifying uncertainty and stability among highly correlated predictors: a subspace perspective


Quantifying urban areas with multi-source data based on percolation theory


Quantifying urban socio-economic segregation through co-residence network reconstruction


Quantifying urban streetscapes with deep learning: focus on aesthetic evaluation


Quantifying yeast colony morphologies with feature engineering from time-lapse photography


Quantile Bandits for Best Arms Identification


Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability


Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems


Quantile Propagation for Wasserstein-Approximate Gaussian Processes


Quantile Regression for Distributional Reward Models in RLHF


Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions


Quantile Spectral Beta: A Tale of Tail Risks, Investment Horizons, and Asset Prices


Quantile Super Learning for independent and online settings with application to solar power forecasting


Quantile autoregressive conditional heteroscedasticity


Quantile balancing inverse probability weighting for non-probability samples


Quantile factor analysis for large-dimensional time series with statistical guarantee


Quantile regression with deep ReLU Networks: Estimators and minimax rates


Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms


Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems


Quantile-Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding Distribution


Quantile-based Maximum Likelihood Training for Outlier Detection


Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models


Quantile-respectful density estimation based on the Harrell-Davis quantile estimator


Quantinar: a blockchain p2p ecosystem for honest scientific research


Quantitative 3D Map Accuracy Evaluation Hardware and Algorithm for LiDAR(-Inertial) SLAM


Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study


Quantitative Analysis of Performance Drop in DeepSeek Model Quantization


Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification


Quantitative Assessment of Intersectional Empathetic Bias and Understanding


Quantitative Assurance and Synthesis of Controllers from Activity Diagrams


Quantitative Certification of Bias in Large Language Models


Quantitative Depth Quality Assessment of RGBD Cameras At Close Range Using 3D Printed Fixtures


Quantitative Error Prediction of Medical Image Registration using Regression Forests


Quantitative Evaluation of Motif Sets in Time Series


Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques


Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation


Quantitative Gait Analysis from Single RGB Videos Using a Dual-Input Transformer-Based Network


Quantitative Imaging Principles Improves Medical Image Learning


Quantitative Measures for Passive Sonar Texture Analysis


Quantitative PAT with simplified $P_N$ approximation


Quantitative Relaxations of Arrow's Axioms


Quantitative Security Risk Modeling and Analysis with RisQFLan


Quantitative Survey of the State of the Art in Sign Language Recognition


Quantitative Tools for Time Series Analysis in Natural Language Processing: A Practitioners Guide


Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging


Quantitative analysis of spectroscopic Low Energy Electron Microscopy data: High-dynamic range imaging, drift correction and cluster analysis


Quantitative analysis of the prediction performance of a Convolutional Neural Network evaluating the surface elastic energy of a strained film


Quantitative and Interpretable Order Parameters for Phase Transitions from Persistent Homology


Quantitative approaches for multi-scale structural analysis with atomic resolution electron microscopy


Quantitative arithmetic of diagonal degree $2$ K3 surfaces


Quantitative aspects of linear and affine closed lambda terms


Quantitative bias analysis for outcome phenotype error correction in comparative effect estimation: an empirical and synthetic evaluation


Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation


Quantitative earnings enhancement from share buybacks


Quantitative magneto-optical imaging with ferrite garnets


Quantitative modelling of type Ia supernovae spectral time series: Constraining the explosion physics


Quantitative phase imaging through an ultra-thin lensless fiber endoscope


Quantitative photoacoustic oximetry imaging by multiple illumination learned spectral decoloring


Quantitative, Data-driven Network Model for Global Cascading Financial Failure


Quantitatively rating galaxy simulations against real observations with anomaly detection


Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems


Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis


Quantization Adaptor for Bit-Level Deep Learning-Based Massive MIMO CSI Feedback


Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization


Quantization Effects on Neural Networks Perception: How would quantization change the perceptual field of vision models?


Quantization Guided JPEG Artifact Correction


Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models


Quantization and Deployment of Deep Neural Networks on Microcontrollers


Quantization for OpenAI's Whisper Models: A Comparative Analysis


Quantization-Based Regularization for Autoencoders


Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks


Quantization-aware Matrix Factorization for Low Bit Rate Image Compression


Quantized Convolutional Neural Networks for Mobile Devices


Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments


Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models


Quantized GAN for Complex Music Generation from Dance Videos


Quantized Nonlinear Transport with Ultracold Atoms


Quantized Prompt for Efficient Generalization of Vision-Language Models


Quantized Radio Map Estimation Using Tensor and Deep Generative Models


Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models


Quantized Training of Gradient Boosting Decision Trees


Quantum Adaptive Fourier Features for Neural Density Estimation


Quantum Algorithm for a Stochastic Multicloud Model


Quantum Algorithms and Simulation for Parallel and Distributed Quantum Computing


Quantum Algorithms for Deep Convolutional Neural Networks


Quantum Algorithms for Geologic Fracture Networks


Quantum Algorithms for Inverse Participation Ratio Estimation in multi-qubit and multi-qudit systems


Quantum Algorithms for Realizing Symmetric, Asymmetric, and Antisymmetric Projectors


Quantum Algorithms for Testing Hamiltonian Symmetry


Quantum Algorithms in IBMQ Experience: Deutsch-Jozsa algorithm


Quantum Annealing Approach for the Optimal Real-time Traffic Control using QUBO


Quantum Annealing Learning Search Implementations


Quantum Annealing Solutions for the Closest String Problem with D-Wave Systems


Quantum Annealing and Tensor Networks: a Powerful Combination to Solve Optimization Problems


Quantum Annealing for Robust Principal Component Analysis


Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites


Quantum Approximate Optimisation for Not-All-Equal SAT


Quantum Approximate Optimization Algorithm Parameter Prediction Using a Convolutional Neural Network


Quantum Approximate Optimization Algorithm for Bayesian network structure learning


Quantum Approximate Optimization Algorithm with Sparsified Phase Operator


Quantum Artificial Intelligence for the Science of Climate Change


Quantum Blackjack or Can MIT Bring Down the House Again?


Quantum Boosting using Domain-Partitioning Hypotheses


Quantum Chemical Density Matrix Renormalization Group Method Boosted by Machine Learning


Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search


Quantum Circuit Discovery for Fault-Tolerant Logical State Preparation with Reinforcement Learning


Quantum Circuit Mutants: Empirical Analysis and Recommendations


Quantum Circuit Optimisation and MBQC Scheduling with a Pauli Tracking Library


Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores and Automatic Precision Selection


Quantum Circuit Simulation with Fast Tensor Decision Diagram


Quantum Circuit Switching with One-Way Repeaters in Star Networks


Quantum Circuit Transformation Based on Simulated Annealing and Heuristic Search


Quantum Circuit Transformation Based on Tabu Search


Quantum Circuits for Elementary Cellular Automata


Quantum Clustering with k-Means: a Hybrid Approach


Quantum Coding with Finite Thermodynamic Resources


Quantum Computation for Predicting Electron and Phonon Properties of Solids


Quantum Computer-Aided design of Quantum Optics Hardware


Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification


Quantum Computing Techniques for Multi-Knapsack Problems


Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics


Quantum Computing for Discrete Optimization: A Highlight of Three Technologies


Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS


Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning


Quantum Constraint Problems can be complete for $\mathsf{BQP}$, $\mathsf{QCMA}$, and more


Quantum Control Machine: The Limits of Control Flow in Quantum Programming


Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning


Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data


Quantum DeepONet: Neural operators accelerated by quantum computing


Quantum Diffusion Model for Quark and Gluon Jet Generation


Quantum Down Sampling Filter for Variational Auto-encoder


Quantum Dueling: an Efficient Solution for Combinatorial Optimization


Quantum Embedding of Non-local Quantum Many-body Interactions in Prototypal Anti-tumor Vaccine Metalloprotein on Near Term Quantum Computing Hardware


Quantum Entanglement & Purity Testing: A Graph Zeta Function Perspective


Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection


Quantum Error Correction Scheme for Fully Correlated Noise


Quantum Error Correction Without Encoding via the Circulant Structure of Pauli Noise and the Fast Fourier Transform


Quantum Error Detection For Early Term Fault-Tolerant Quantum Algorithms


Quantum Error Mitigation by Pauli Check Sandwiching


Quantum Error Mitigation using Symmetry Expansion


Quantum Factoring Algorithm using Grover Search


Quantum Feature Space of a Qubit Coupled to an Arbitrary Bath


Quantum Federated Learning with Quantum Data


Quantum Flatness in Two-Dimensional CDT Quantum Gravity


Quantum Floquet engineering with an exactly solvable tight-binding chain in a cavity


Quantum Gaussian filter for exploring ground-state properties


Quantum Ground States from Reinforcement Learning


Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition


Quantum Imaginary Time Evolution, Quantum Lanczos, and Quantum Thermal Averaging


Quantum Inspired Optimization for Industrial Scale Problems


Quantum Instrumentation Control Kit -- Defect Arbitrary Waveform Generator (QICK-DAWG): A Quantum Sensing Control Framework for Quantum Defects


Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs


Quantum Kernel Evaluation via Hong-Ou-Mandel Interference


Quantum Key Distribution over Complex Networks


Quantum Key Distribution with Minimal Qubit Transmission Based on MultiQubit Greenberger Horne Zeilinger State


Quantum LDPC Codes for Modular Architectures


Quantum Limits of Exoplanet Detection and Localization


Quantum Link Prediction in Complex Networks


Quantum Lock: A Provable Quantum Communication Advantage


Quantum MASALA: Quantum MAterialS Ab initio eLectronic-structure pAckage


Quantum Machine Learning With Canonical Variables


Quantum Machine Learning using the ZXW-Calculus


Quantum Many-Body Effects in X-Ray Spectra Efficiently Computed using a Basic Graph Algorithm


Quantum Many-body Simulations from a Reinforcement-Learned Exponential Ansatz


Quantum Mechanical Out-Of-Time-Ordered-Correlators for the Anharmonic (Quartic) Oscillator


Quantum Mechanics of Human Perception, Behaviour and Decision-Making: A Do-It-Yourself Model Kit for Modelling Optical Illusions and Opinion Formation in Social Networks


Quantum Methods for Managing Ambiguity in Natural Language Processing


Quantum Microscopy of Cells at the Heisenberg Limit


Quantum Monte Carlo algorithm for solving Black-Scholes PDEs for high-dimensional option pricing in finance and its complexity analysis


Quantum Monte Carlo and Stabilizer States


Quantum Monte Carlo-based density functional for one-dimensional Bose-Bose mixtures


Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design


Quantum Natural Language Generation on Near-Term Devices


Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning


Quantum Natural Stochastic Pairwise Coordinate Descent


Quantum Neural Network Classifiers: A Tutorial


Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks


Quantum One-class Classification With a Distance-based Classifier


Quantum Optimal Control via Semi-Automatic Differentiation


Quantum Optimal Control without Arbitrary Waveform Generators


Quantum Optimal Transport for Tensor Field Processing


Quantum Optimization for Software Engineering: A Survey


Quantum Optimization via Gradient-Based Hamiltonian Descent


Quantum Package 2.0: An Open-Source Determinant-Driven Suite of Programs


Quantum Patch-Based Autoencoder for Anomaly Segmentation


Quantum Pattern Detection: Accurate State- and Circuit-based Analyses


Quantum Perceptron Revisited: Computational-Statistical Tradeoffs


Quantum Period Finding against Symmetric Primitives in Practice


Quantum Phase Diagram and Spontaneously Emergent Topological Chiral Superconductivity in Doped Triangular-Lattice Mott Insulators


Quantum Policy Gradient Algorithm with Optimized Action Decoding


Quantum Process Tomography with Digital Twins of Error Matrices


Quantum Query Complexity of Boolean Functions under Indefinite Causal Order


Quantum RNNs and LSTMs Through Entangling and Disentangling Power of Unitary Transformations


Quantum Radio Astronomy: Data Encodings and Quantum Image Processing


Quantum Radio Astronomy: Quantum Linear Solvers for Redundant Baseline Calibration


Quantum Random Numbers generated by the Cloud Superconducting Quantum Computer


Quantum Realization of the Finite Element Method


Quantum Repeater using Two-Mode Squeezed States and Atomic Noiseless Amplifiers


Quantum Reservoir Computing for Realized Volatility Forecasting


Quantum Resetting Protocols Based on Synchronizing Words


Quantum Search Approaches to Sampling-Based Motion Planning


Quantum Self-Consistent Ab-Initio Lattice Dynamics


Quantum Sensor Network Algorithms for Transmitter Localization


Quantum Serverless Paradigm and Application Development using the QFaaS Framework


Quantum Sieving for Code-Based Cryptanalysis and Its Limitations for ISD


Quantum Simulations Based on Parameterized Circuit of an Antisymmetric Matrix


Quantum Simulations of SO(5) Many-Fermion Systems using Qudits


Quantum Skyrmion Lattices in Heisenberg Ferromagnets


Quantum Speedup for the Maximum Cut Problem


Quantum Spin Hall-like Phononic States in van der Waals Bilayers with Antiferromagnetic Ordering


Quantum State Compression with Polar Codes


Quantum State Preparation Using an Exact CNOT Synthesis Formulation


Quantum Subroutine for Variance Estimation: Algorithmic Design and Applications


Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification


Quantum Testing in the Wild: A Case Study with Qiskit Algorithms


Quantum Time-Series Learning with Evolutionary Algorithms


Quantum Variational Rewinding for Time Series Anomaly Detection


Quantum Variational Solving of Nonlinear and Multi-Dimensional Partial Differential Equations


Quantum Volume in Practice: What Users Can Expect from NISQ Devices


Quantum Wave Function Collapse for Procedural Content Generation


Quantum Wave Simulation with Sources and Loss Functions


Quantum adiabatic machine learning with zooming


Quantum advantage for differential equation analysis


Quantum advantage for noisy channel discrimination


Quantum advantage in learning from experiments


Quantum advantage in training binary neural networks


Quantum algorithms for SVD-based data representation and analysis


Quantum algorithms for the variational optimization of correlated electronic states with stochastic reconfiguration and the linear method


Quantum amplitude estimation from classical signal processing


Quantum and Quantum-Inspired Stereographic K Nearest-Neighbour Clustering


Quantum annealing initialization of the quantum approximate optimization algorithm


Quantum anomaly detection in the latent space of proton collision events at the LHC


Quantum approximate optimization algorithm with random and subgraph phase operators


Quantum approximate optimization via learning-based adaptive optimization


Quantum associative memory with a single driven-dissipative nonlinear oscillator


Quantum autoencoders with enhanced data encoding


Quantum block Krylov subspace projector algorithm for computing low-lying eigenenergies


Quantum catalysis in cavity quantum electrodynamics


Quantum chaos on the separatrix of the periodically perturbed Harper model


Quantum chemistry-augmented neural networks for reactivity prediction: Performance, generalizability and interpretability


Quantum circuit architecture search for variational quantum algorithms


Quantum circuit design for universal distribution using a superposition of classical automata


Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays


Quantum circuits for solving local fermion-to-qubit mappings


Quantum circuits for the Ising spin networks


Quantum classifier with tailored quantum kernel


Quantum codes do not fix qubit independent errors


Quantum communications in a moderate-to-strong turbulent space


Quantum computation capability verification protocol for NISQ devices with dihedral coset problem


Quantum computation of dynamical quantum phase transitions and entanglement tomography in a lattice gauge theory


Quantum computation on a 19-qubit wide 2d nearest neighbour qubit array


Quantum computing algorithms for inverse problems on graphs and an NP-complete inverse problem


Quantum computing fidelity susceptibility using automatic differentiation


Quantum computing of reacting flows via Hamiltonian simulation


Quantum computing with rotation-symmetric bosonic codes


Quantum correlation alignment for unsupervised domain adaptation


Quantum correlations in a gravitational collapse simulation with SpheriCo.jl


Quantum diamond spectrometer for nanoscale NMR and ESR spectroscopy


Quantum dynamics using path integral coarse-graining


Quantum effects on dislocation motion from Ring-Polymer Molecular Dynamics


Quantum emitter in a plasmonic field: an orientation generalised model


Quantum enhanced stratification of Breast Cancer: exploring quantum expressivity for real omics data


Quantum enhancements for deep reinforcement learning in large spaces


Quantum error correction for the toric code using deep reinforcement learning


Quantum error correction with fractal topological codes


Quantum generative adversarial networks for gluon initiated jets generation


Quantum hypothesis testing in many-body systems


Quantum in the media: A content analysis of frames in Dutch newspapers


Quantum key distribution rates from semidefinite programming


Quantum lattice Boltzmann method for simulating nonlinear fluid dynamics


Quantum machine learning beyond kernel methods


Quantum machine learning of large datasets using randomized measurements


Quantum many-body simulations with PauliStrings.jl


Quantum mean states are nicer than you think: fast algorithms to compute states maximizing average fidelity


Quantum memories for squeezed and coherent superpositions in a driven-dissipative nonlinear oscillator


Quantum message-passing algorithm for optimal and efficient decoding


Quantum metrology for non-Markovian processes


Quantum mixture-density network for multimodal probabilistic prediction


Quantum multi-programming for Grover's search


Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration


Quantum non-Gaussianity certification of photon-number-resolving detectors


Quantum open system identification via global optimization: Optimally accurate Markovian models of open systems from time-series data


Quantum optical classifier with superexponential speedup


Quantum optical realization of arbitrary linear transformations allowing for loss and gain


Quantum optimization with arbitrary connectivity using Rydberg atom arrays


Quantum orders in the frustrated Ising model on the bathroom tile lattice


Quantum phase classification via quantum hypothesis testing


Quantum pixel representations and compression for $N$-dimensional images


Quantum propagation scheme using Hagedorn wave packets : numerical developments


Quantum reaction-limited reaction-diffusion dynamics of noninteracting Bose gases


Quantum reservoir complexity by Krylov evolution approach


Quantum resources in resource management systems


Quantum sensing of displacements with stabilized GKP states


Quantum sensing of magnetic fields with molecular color centers


Quantum sets of the multicolored-graph approach to contextuality


Quantum simulation for thermodynamics of infinite-size many-body systems by O(10) sites


Quantum simulation of battery materials using ionic pseudopotentials


Quantum simulation of excited states from parallel contracted quantum eigensolvers


Quantum simulation of time-dependent Hamiltonians via commutator-free quasi-Magnus operators


Quantum simulations of molecular systems with intrinsic atomic orbitals


Quantum spatial search on graphs subject to dynamical noise


Quantum spectral clustering algorithm for unsupervised learning


Quantum spin solver near saturation: QS$^3_{~}$


Quantum state engineering using one-dimensional discrete-time quantum walks


Quantum state preparation of gravitational waves


Quantum subspace alignment for domain adaptation


Quantum targeted energy transfer through machine learning tools


Quantum to Classical Neural Network Transfer Learning Applied to Drug Toxicity Prediction


Quantum to classical crossover in generalized spin systems -- the temperature-dependent spin dynamics of FeI$_2$


Quantum transport senses community structure in networks


Quantum variational learning for quantum error-correcting codes


Quantum vibronic effects on the electronic properties of molecular crystals


Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning


Quantum++: A modern C++ quantum computing library


Quantum-Assisted Hilbert-Space Gaussian Process Regression


Quantum-Classical Computing via Tensor Networks


Quantum-Classical Machine learning by Hybrid Tensor Networks


Quantum-Efficient Kernel Target Alignment


Quantum-Electrodynamical Density-Functional Theory Exemplified by the Quantum Rabi Model


Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting


Quantum-Enhanced Conformal Methods for Multi-Output Uncertainty: A Holistic Exploration and Experimental Analysis


Quantum-Informed Recursive Optimization Algorithms


Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling


Quantum-Inspired Tempering for Ground State Approximation using Artificial Neural Networks


Quantum-Like Contextuality in Large Language Models


Quantum-assisted Stacking Sequence Retrieval and Laminated Composite Design


Quantum-enhanced Markov Chain Monte Carlo for systems larger than your Quantum Computer


Quantum-informed simulations for mechanics of materials: DFTB+MBD framework


Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning


Quantum-inspired Interpretable Deep Learning Architecture for Text Sentiment Analysis


Quantum-inspired algorithms for multivariate analysis: from interpolation to partial differential equations


Quantum-inspired classification via efficient simulation of Helstrom measurement


Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States


QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models


QuantumBind-RBFE: Accurate Relative Binding Free Energy Calculations Using Neural Network Potentials


QuantumDNA: A Python Package for Analyzing Quantum Charge Dynamics in DNA and Exploring Its Biological Relevance


QuantumDynamics.jl: A modular approach to simulations of dynamics of open quantum systems


QuantumOptics.jl: A Julia framework for simulating open quantum systems


QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits


QuantumToolbox.jl: An efficient Julia framework for simulating open quantum systems


Quantumness and Learning Performance in Reservoir Computing with a Single Oscillator


Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment


Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free


Quark propagator with complex-valued momentum from Schwinger-Dyson equation in the Euclidean space


Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference


Quark: Controllable Text Generation with Reinforced Unlearning


Quark: Implementing Convolutional Neural Networks Entirely on Programmable Data Plane


QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge


Quartermaster: A Tool for Modeling and Simulating System Degradation


Quartet: Native FP4 Training Can Be Optimal for Large Language Models


Quartic del Pezzo surfaces without quadratic points


Quartz: Superoptimization of Quantum Circuits (Extended Version)


Quasar Island - Three new $z\sim6$ quasars, including a lensed candidate, identified with contrastive learning


Quasar: Datasets for Question Answering by Search and Reading


QuasarNET: Human-level spectral classification and redshifting with Deep Neural Networks


Quasi Anomalous Knowledge: Searching for new physics with embedded knowledge


Quasi Static Atmospheric Model for Aircraft Trajectory Prediction and Flight Simulation


Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data


Quasi all-speed schemes for magnetohydrodynamic flows in a wide range of Mach numbers


Quasi-Bayesian Dual Instrumental Variable Regression


Quasi-Brittle Fracture: The Blended Approach


Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation


Quasi-Framelets: Robust Graph Neural Networks via Adaptive Framelet Convolution


Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data


Quasi-Linear Homogenization for Large-Inertia Laminar Transport across Permeable Membranes


Quasi-Monte Carlo for 3D Sliced Wasserstein


Quasi-Monte Carlo methods for calculating derivatives sensitivities on the GPU


Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample


Quasi-Newton Methods for Topology Optimization Using a Level-Set Method


Quasi-Newton Solver for Robust Non-Rigid Registration


Quasi-Newton acceleration of EM and MM algorithms via Broyden$'$s method


Quasi-Objective Eddy Visualization from Sparse Drifter Data


Quasi-average predictions and regression to the trend: an application the M6 financial forecasting competition


Quasi-definite axial algebras of Jordan type half


Quasi-harmonic oscillatory motion of charged particles around a Schwarzschild black hole immersed in an uniform magnetic field


Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models


Quasi-neutral Dynamics in a Coinfection System with N Strains and Asymmetries along Multiple Traits


Quasi-normal modes of near-extremal black holes in dRGT massive gravity using Physics-Informed Neural Networks (PINNs)


Quasi-optimal complexity $hp$-FEM for Poisson on a rectangle


Quasi-orthonormal Encoding for Machine Learning Applications


Quasi-polynomial time algorithms for free quantum games in bounded dimension


Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality


Quasi-static Soft Fixture Analysis of Rigid and Deformable Objects


Quasi-static crack propagation with a Griffith criterion using a variational discrete element method


Quasi-supervised Learning for Super-resolution PET


QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer


Quasiclassical Modeling of Cavity Quantum Electrodynamics


Quasifibrations of Graphs to Find Symmetries in Biological Networks


Quasinormal Modes in Noncommutative Schwarzschild Black Holes: A Spectral Analysis


Quasinormal modes of slowly-spinning horizonless compact objects


Quasinormal modes of weakly charged Einstein-Maxwell-dilaton black holes


Quasiparticle band structure and excitonic optical response in V2O5 bulk and monolayer


Quasiparticle disintegration in fermionic superfluids


Quasiperiodicity and blowup in integrable subsystems of nonconservative nonlinear Schrödinger equations


Quasiprobability decompositions with reduced sampling overhead


Quasistatic contact-rich manipulation via linear complementarity quadratic programming


QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion


QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings


Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Training


Quaternion Orthogonal Transformer for Facial Expression Recognition in the Wild


Quaternion Product Units for Deep Learning on 3D Rotation Groups


Quaternion-Valued Recurrent Projection Neural Networks on Unit Quaternions


Quattro: Transformer-Accelerated Iterative Linear Quadratic Regulator Framework for Fast Trajectory Optimization


Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search


Qubit operations using a modular optical system engineered with PyOpticL: a code-to-CAD optical layout tool


Qubit-efficient Variational Quantum Algorithms for Image Segmentation


Qubit-efficient entanglement spectroscopy using qubit resets


QubitLens: An Interactive Learning Tool for Quantum State Tomography


Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation


QueensCAMP: an RGB-D dataset for robust Visual SLAM


QueerBench: Quantifying Discrimination in Language Models Toward Queer Identities


Quench Dynamics in Holographic First-Order Phase Transition


Quenches in the Sherrington-Kirkpatrick model


Quenching, Mergers and Age Profiles for z=2 Galaxies in IllustrisTNG


Querent Intent in Multi-Sentence Questions


Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes


Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements


Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks


Query Augmentation by Decoding Semantics from Brain Signals


Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models


Query Embedding on Hyper-relational Knowledge Graphs


Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online Efficiency


Query Interpretations from Entity-Linked Segmentations


Query Learning Algorithm for Residual Symbolic Finite Automata


Query Performance Prediction for Neural IR: Are We There Yet?


Query Performance Prediction: From Ad-hoc to Conversational Search


Query Provenance Analysis: Efficient and Robust Defense against Query-based Black-box Attacks


Query Recovery from Easy to Hard: Jigsaw Attack against SSE


Query Resolution for Conversational Search with Limited Supervision


Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs


Query Time Optimized Deep Learning Based Video Inference System


Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables


Query Understanding via Intent Description Generation


Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling


Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation


Query-Based Keyphrase Extraction from Long Documents


Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning


Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling


Query-Efficient Black-Box Red Teaming via Bayesian Optimization


Query-Efficient Planning with Language Models


Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization


Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions


Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking


Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks


Query-Key Normalization for Transformers


Query-Policy Misalignment in Preference-Based Reinforcement Learning


Query-Utterance Attention with Joint modeling for Query-Focused Meeting Summarization


Query-Variant Advertisement Text Generation with Association Knowledge


Query-adaptive Video Summarization via Quality-aware Relevance Estimation


Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce


Query-based Hard-Image Retrieval for Object Detection at Test Time


Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU


Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents


Query-decision Regression between Shortest Path and Minimum Steiner Tree


Query-efficient Meta Attack to Deep Neural Networks


Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering


Query2CAD: Generating CAD models using natural language queries


Query2Particles: Knowledge Graph Reasoning with Particle Embeddings


Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs


Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings


Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussian


QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language


QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting


QueryCDR: Query-Based Controllable Distortion Rectification Network for Fisheye Images


QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems


QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection


QueryER: A Framework for Fast Analysis-Aware Deduplication over Dirty Data


QueryNER: Segmentation of E-commerce Queries


QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query


QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems


Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification


Querying Databases with Function Calling


Querying Easily Flip-flopped Samples for Deep Active Learning


Querying Inconsistent Prioritized Data with ORBITS: Algorithms, Implementation, and Experiments


Querying Kernel Methods Suffices for Reconstructing their Training Data


Querying Knowledge via Multi-Hop English Questions


Querying functional and structural niches on spatial transcriptomics data


Quest Love: A First Look at Blockchain Loyalty Programs


Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference


QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?


QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications


Question Answering as Programming for Solving Time-Sensitive Questions


Question Answering by Reasoning Across Documents with Graph Convolutional Networks


Question Answering for Privacy Policies: Combining Computational and Legal Perspectives


Question Answering on Freebase via Relation Extraction and Textual Evidence


Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework


Question Classification with Deep Contextualized Transformer


Question Decomposition Improves the Faithfulness of Model-Generated Reasoning


Question Decomposition Tree for Answering Complex Questions over Knowledge Bases


Question Decomposition with Dependency Graphs


Question Dependent Recurrent Entity Network for Question Answering


Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system


Question Generation for Adaptive Education


Question Translation Training for Better Multilingual Reasoning


Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets


Question answering system of bridge design specification based on large language model


Question rewriting? Assessing its importance for conversational question answering


Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation


Question-Answering Approach to Evaluating Legal Summaries


Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes


Question-Aware Gaussian Experts for Audio-Visual Question Answering


Question-Driven Summarization of Answers to Consumer Health Questions


Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering


Question-controlled Text-aware Image Captioning


Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering


Questioning Internal Knowledge Structure of Large Language Models Through the Lens of the Olympic Games


Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis


Questioning the Survey Responses of Large Language Models


Questionnaires for Everyone: Streamlining Cross-Cultural Questionnaire Adaptation with GPT-Based Translation Quality Evaluation


Queue management for slo-oriented large language model serving


Queue-based Resampling for Online Class Imbalance Learning


Queueing Matching Bandits with Preference Feedback


Quick Annotator: an open-source digital pathology based rapid image annotation tool


Quick Back-Translation for Unsupervised Machine Translation


Quick Multi-Robot Motion Planning by Combining Sampling and Search


Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders


Quick recipes for gravitational-wave selection effects


QuickBind: A Light-Weight And Interpretable Molecular Docking Model


QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation


QuickLLaMA: Query-aware Inference Acceleration for Large Language Models


QuickProbs 2: towards rapid construction of high-quality alignments of large protein families


QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection


QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models


QuickSim: Efficient and Accurate Physical Simulation of Silicon Dangling Bond Logic


QuickVC: Any-to-many Voice Conversion Using Inverse Short-time Fourier Transform for Faster Conversion


QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design


QuickerCheck: Implementing and Evaluating a Parallel Run-Time for QuickCheck


Quickshift++: Provably Good Initializations for Sample-Based Mean Shift


Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach


Quijote-PNG: Simulations of primordial non-Gaussianity and the information content of the matter field power spectrum and bispectrum


QuinID: Enabling FDMA-Based Fully Parallel RFID with Frequency-Selective Antenna


Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies


QuipuNet: convolutional neural network for single-molecule nanopore sensing


Quite Good, but Not Enough: Nationality Bias in Large Language Models -- A Case Study of ChatGPT


Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness


Qumin, a minimalist quantum programming language


Qunity: A Unified Language for Quantum and Classical Computing (Extended Version)


Quo Vadis, Skeleton Action Recognition ?


QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension


Quokka: An Open-source Large Language Model ChatBot for Material Science


Quootstrap: Scalable Unsupervised Extraction of Quotation-Speaker Pairs from Large News Corpora via Bootstrapping


Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders


Quota-based debiasing can decrease representation of already underrepresented groups


Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations


Quotatives Indicate Decline in Objectivity in U.S. Political News


QuoteKG: A Multilingual Knowledge Graph of Quotes


QuoteR: A Benchmark of Quote Recommendation for Writing


Quotient geometry of bounded or fixed rank correlation matrices


QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language


Qutrit codes within representations of SU(3)


Qutrit metaplectic gates are a subset of Clifford+T


Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information


Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models


Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models


Qwind code release. A non-hydrodynamical approach to modelling line-driven winds in active galactic nuclei


Qwind3: UV line-driven accretion disc wind models for AGN feedback


R package SamplingStrata: new developments and extension to Spatial Sampling


R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction


R$^2$F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference


R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity


R+R: Security Vulnerability Dataset Quality Is Critical


R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?


R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing


R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients


R-CoT: Reverse Chain-of-Thought Problem Generation for Geometric Reasoning in Large Multimodal Models


R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning


R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models


R-FORCE: Robust Learning for Random Recurrent Neural Networks


R-GAP: Recursive Gradient Attack on Privacy


R-Judge: Benchmarking Safety Risk Awareness for LLM Agents


R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration


R-LPIPS: An Adversarially Robust Perceptual Similarity Metric


R-LoRA: Random Initialization of Multi-Head LoRA for Multi-Task Learning


R-MADDPG for Partially Observable Environments and Limited Communication


R-NL: Covariance Matrix Estimation for Elliptical Distributions based on Nonlinear Shrinkage


R-NeRF: Neural Radiance Fields for Modeling RIS-enabled Wireless Environments


R-PCC: A Baseline for Range Image-based Point Cloud Compression


R-PRM: Reasoning-Driven Process Reward Modeling


R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method


R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors


R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning


R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning


R-Tuning: Instructing Large Language Models to Say `I Don't Know'


R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents


R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering


R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations


R.R.: Unveiling LLM Training Privacy through Recollection and Ranking


R.U.Psycho? Robust Unified Psychometric Testing of Language Models


R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning


R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search


R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO


R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning


R2-AD2: Detecting Anomalies by Analysing the Raw Gradient


R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs


R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts


R2-based Hypervolume Contribution Approximation


R2: A Distributed Remote Function Execution Mechanism With Built-in Metadata


R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification


R2D2: Robust Data-to-Text with Replacement Detection


R2DE: a NLP approach to estimating IRT parameters of newly generated questions


R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks


R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation


R2GenGPT: Radiology Report Generation with Frozen LLMs


R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping


R2MED: A Benchmark for Reasoning-Driven Medical Retrieval


R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing


R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network


R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation


R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning


R3: Robust Rubric-Agnostic Reward Models


R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning


R3F: An R package for evolutionary dates, rates, and priors using the relative rate framework


R3M: A Universal Visual Representation for Robot Manipulation


R3MG: R-tree based agglomeration of polytopal grids with applications to multilevel methods


R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision


R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning


RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation


RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback


RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long Documents


RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning


RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning


RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans


RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction


RAB: Provable Robustness Against Backdoor Attacks


RAC: Efficient LLM Factuality Correction with Retrieval Augmentation


RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning


RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles


RACE: Retrieval-Augmented Commit Message Generation


RACECAR -- The Dataset for High-Speed Autonomous Racing


RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews


RACNN: Residual Attention Convolutional Neural Network for Near-Field Channel Estimation in 6G Wireless Communications


RACQUET: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs


RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues


RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices


RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection


RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps


RADAR: Benchmarking Language Models on Imperfect Tabular Data


RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection


RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery


RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users


RADIATE: A Radar Dataset for Automotive Perception in Bad Weather


RADIOHEAD: Radiogenomic Analysis Incorporating Tumor Heterogeneity in Imaging Through Densities


RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale


RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising


RADYNVERSION: Learning to Invert a Solar Flare Atmosphere with Invertible Neural Networks


RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information


RAFEN -- Regularized Alignment Framework for Embeddings of Nodes


RAFFLE: Active learning accelerated interface structure prediction


RAFIC: Retrieval-Augmented Few-shot Image Classification


RAFT-3D: Scene Flow using Rigid-Motion Embeddings


RAFT: A Real-World Few-Shot Text Classification Benchmark


RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs


RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation


RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems


RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards


RAG-Enabled Intent Reasoning for Application-Network Interaction


RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions


RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering


RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment


RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR Environments


RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation


RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation


RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework


RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection


RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems


RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging


RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery


RAGSynth: Synthetic Data for Robust and Faithful RAG Component Optimization


RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models


RAGViz: Diagnose and Visualize Retrieval-Augmented Generation


RAI: Flexible Agent Framework for Embodied AI


RAID-Database: human Responses to Affine Image Distortions


RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors


RAID: Tool Support for Refactoring-Aware Code Reviews


RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation


RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT


RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs


RAILS: A Robust Adversarial Immune-inspired Learning System


RAIN: A Simple Approach for Robust and Accurate Image Classification Networks


RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models


RAIN: Your Language Models Can Align Themselves without Finetuning


RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval


RAISE: Realness Assessment for Image Synthesis and Evaluation


RAKG:Document-level Retrieval Augmented Knowledge Graph Construction


RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical Flow


RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning


RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning


RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning


RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records


RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaboration


RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation


RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning


RAMBO: Enhancing RAG-based Repository-Level Method Body Completion


RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training


RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness


RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion


RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering


RAMSES-yOMP: Performance Optimizations for the Astrophysical Hydrodynamic Simulation Code RAMSES


RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario


RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition


RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray


RANFusion: A Comprehensive Tool for Simulating Handover In Next-G RAN


RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks


RANG: Reconstructing reproducible R computational environments


RANSAC Back to SOTA: A Two-stage Consensus Filtering for Real-time 3D Registration


RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior


RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting


RAP-SAM: Towards Real-Time All-Purpose Segment Anything


RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution


RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models


RAP: Risk-Aware Prediction for Robust Planning


RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models


RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information


RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content


RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction


RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction


RAPOC : the Rosseland and Planck opacity converter. A user-friendly and fast opacity program for Python


RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization


RAPS: A Novel Few-Shot Relation Extraction Pipeline with Query-Information Guided Attention and Adaptive Prototype Fusion


RAPTOR II: Polarized radiative transfer in curved spacetime


RAPTOR: Rapid Aerial Pickup and Transport of Objects by Robots


RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments


RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition


RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues


RARE: Image Reconstruction using Deep Priors Learned without Ground Truth


RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems


RARR: Researching and Revising What Language Models Say, Using Language Models


RARe: Retrieval Augmented Retrieval with In-Context Examples


RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments


RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL


RASCAL: Towards automated spectral wavelength calibration


RASSAR: Room Accessibility and Safety Scanning in Augmented Reality


RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch


RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction


RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting


RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals


RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation


RATIONALYST: Pre-training Process-Supervision for Improving Reasoning


RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs


RATT: A Thought Structure for Coherent and Correct LLM Reasoning


RATT: Leveraging Unlabeled Data to Guarantee Generalization


RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning


RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation


RAUNE-Net: A Residual and Attention-Driven Underwater Image Enhancement Method


RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments


RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement


RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations


RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models


RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language


RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding