WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
Paper
• 2411.02337 • Published
• 36
Interés
-
-
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Paper • 2411.04996 • Published • 50 -
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 69 -
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 47 -
Game-theoretic LLM: Agent Workflow for Negotiation Games
Paper • 2411.05990 • Published • 8 -
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
Paper • 2411.10640 • Published • 46 -
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Paper • 2411.19146 • Published • 17 -
Snowflake/snowflake-arctic-embed-m-v2.0
Sentence Similarity • Updated • 74.3k • 101 -
Snowflake/snowflake-arctic-embed-l-v2.0
Sentence Similarity • Updated • 1.34M • • 231 -
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
Paper • 2412.04862 • Published • 50 -
ruliad/deepthought-8b-llama-v0.01-alpha
Text Generation • Updated • 7 • 146 -
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability
Paper • 2411.19943 • Published • 62 -
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation
Paper • 2412.02592 • Published • 24 -
RL Zero: Zero-Shot Language to Behaviors without any Supervision
Paper • 2412.05718 • Published • 4 -
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
Paper • 2412.10704 • Published • 16 -
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
Paper • 2412.13746 • Published • 9 -
Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture
Paper • 2412.11834 • Published • 8 -
Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
Paper • 2412.13194 • Published • 12 -
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
Paper • 2412.14711 • Published • 16 -
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
Paper • 2412.15797 • Published • 18 -
Progressive Multimodal Reasoning via Active Retrieval
Paper • 2412.14835 • Published • 73 -
MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design
Paper • 2412.14590 • Published • 15 -
Learned Compression for Compressed Learning
Paper • 2412.09405 • Published • 13 -
Token-Budget-Aware LLM Reasoning
Paper • 2412.18547 • Published • 46 -
ericsonwillians/distilbert-base-uncased-steam-sentiment
Text Classification • 67M • Updated • 30 -
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 39 -
Personalized Graph-Based Retrieval for Large Language Models
Paper • 2501.02157 • Published • 31 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 107 -
Multi-task retriever fine-tuning for domain-specific and efficient RAG
Paper • 2501.04652 • Published • 10 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102 -
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
Paper • 2501.02576 • Published • 15 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 104 -
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
Paper • 2501.03226 • Published • 43 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 41 -
RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
Paper • 2501.08617 • Published • 10 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 100 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
Paper • 2501.06590 • Published • 11 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 51 -
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
Paper • 2501.10799 • Published • 15 -
Control LLM: Controlled Evolution for Intelligence Retention in LLM
Paper • 2501.10979 • Published • 6 -
Autonomy-of-Experts Models
Paper • 2501.13074 • Published • 44 -
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
Paper • 2501.11110 • Published • 4 -
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
Paper • 2412.09078 • Published -
LLM2: Let Large Language Models Harness System 2 Reasoning
Paper • 2412.20372 • Published -
TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection
Paper • 2412.08024 • Published • 1 -
Table as Thought: Exploring Structured Thoughts in LLM Reasoning
Paper • 2501.02152 • Published -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 440 -
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
Paper • 2501.18119 • Published • 25 -
Preference Leakage: A Contamination Problem in LLM-as-a-judge
Paper • 2502.01534 • Published • 40 -
The Differences Between Direct Alignment Algorithms are a Blur
Paper • 2502.01237 • Published • 113 -
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Paper • 2501.13200 • Published • 69 -
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles
Paper • 2502.01081 • Published • 13 -
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Paper • 2502.05664 • Published • 24 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
LM2: Large Memory Models
Paper • 2502.06049 • Published • 31 -
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Paper • 2502.06781 • Published • 58 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 152 -
CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference
Paper • 2502.04416 • Published • 12 -
Goku: Flow Based Video Generative Foundation Models
Paper • 2502.04896 • Published • 106 -
In-Context Retrieval-Augmented Language Models
Paper • 2302.00083 • Published • 1 -
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models
Paper • 2502.16614 • Published • 27 -
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Paper • 2502.19361 • Published • 28 -
STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning
Paper • 2502.10177 • Published • 6 -
Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
Paper • 2502.07640 • Published • 9 -
LoRACode: LoRA Adapters for Code Embeddings
Paper • 2503.05315 • Published • 13 -
Learning from Failures in Multi-Attempt Reinforcement Learning
Paper • 2503.04808 • Published • 18 -
docling-project/SmolDocling-256M-preview
Image-Text-to-Text • Updated • 62.6k • 1.61k -
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
Paper • 2503.16430 • Published • 34 -
MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving
Paper • 2503.16905 • Published • 54 -
Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction
Paper • 2503.16194 • Published • 8 -
ELTEX: A Framework for Domain-Driven Synthetic Data Generation
Paper • 2503.15055 • Published • 6 -
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Paper • 2503.16219 • Published • 52 -
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
Paper • 2503.16356 • Published • 15 -
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Paper • 2503.15265 • Published • 46 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 144 -
Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
Paper • 2501.11651 • Published • 1 -
API Agents vs. GUI Agents: Divergence and Convergence
Paper • 2503.11069 • Published • 36 -
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Paper • 2503.12937 • Published • 30 -
Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models
Paper • 2503.04813 • Published • 2 -
Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
Paper • 2502.14356 • Published -
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Paper • 2502.02508 • Published • 22 -
NousResearch/DeepHermes-3-Mistral-24B-Preview
Text Generation • Updated • 242 • 121 -
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
Paper • 2503.08525 • Published • 17 -
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
Paper • 2503.10639 • Published • 53 -
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking
Paper • 2503.19855 • Published • 29 -
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
Paper • 2502.01618 • Published • 10 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 300 -
ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer
Paper • 2501.15570 • Published • 25 -
open-thoughts/OpenThoughts-114k
Viewer • Updated • 228k • 67.9k • 809 -
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
Paper • 2502.04295 • Published • 13 -
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
Paper • 2504.00824 • Published • 43 -
ZClip: Adaptive Spike Mitigation for LLM Pre-Training
Paper • 2504.02507 • Published • 88 -
agentica-org/DeepCoder-14B-Preview
Text Generation • Updated • 351 • • 680 -
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Paper • 2504.06261 • Published • 110 -
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Paper • 2504.05118 • Published • 26 -
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 87 -
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
Paper • 2504.08600 • Published • 33 -
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Paper • 2504.03601 • Published • 17 -
GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation
Paper • 2504.08736 • Published • 46 -
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Paper • 2504.11343 • Published • 19 -
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
Paper • 2502.01142 • Published • 24 -
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
Paper • 2504.08672 • Published • 55 -
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
Paper • 2502.13233 • Published • 15 -
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
Paper • 2502.13922 • Published • 27 -
WorldGUI: Dynamic Testing for Comprehensive Desktop GUI Automation
Paper • 2502.08047 • Published • 28 -
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning
Paper • 2503.07365 • Published • 61 -
Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers
Paper • 2505.04842 • Published • 12 -
Benchmarking LLMs' Swarm intelligence
Paper • 2505.04364 • Published • 20 -
Are Reasoning Models More Prone to Hallucination?
Paper • 2505.23646 • Published • 24 -
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
Paper • 2505.15656 • Published • 15 -
This Time is Different: An Observability Perspective on Time Series Foundation Models
Paper • 2505.14766 • Published • 40 -
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
Paper • 2504.20570 • Published -
Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design
Paper • 2506.04734 • Published • 21 -
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
Paper • 2507.00951 • Published • 24 -
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Paper • 2507.04009 • Published • 53 -
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Paper • 2507.10532 • Published • 90 -
LayerCake: Token-Aware Contrastive Decoding within Large Language Model Layers
Paper • 2507.04404 • Published • 22 -
IntFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction
Paper • 2507.02025 • Published • 35 -
Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
Paper • 2507.13344 • Published • 59 -
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper • 2508.09834 • Published • 53 -
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
Paper • 2509.06861 • Published • 9 -
Locality in Image Diffusion Models Emerges from Data Statistics
Paper • 2509.09672 • Published • 13 -
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
Paper • 2509.16596 • Published • 14 -
Self-Improvement in Multimodal Large Language Models: A Survey
Paper • 2510.02665 • Published • 21