KronQ: LLM Quantization via Kronecker-Factored Hessian Paper • 2607.07964 • Published 11 days ago • 30
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published 21 days ago • 167
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Paper • 2605.28816 • Published May 27 • 432
OpenComputer: Verifiable Software Worlds for Computer-Use Agents Paper • 2605.19769 • Published May 19 • 87
AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration Paper • 2605.20025 • Published May 19 • 191
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Paper • 2605.18106 • Published May 18 • 3
Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information Paper • 2605.11609 • Published May 12 • 196
TextLDM: Language Modeling with Continuous Latent Diffusion Paper • 2605.07748 • Published May 8 • 26
Crowded in B-Space: Calibrating Shared Directions for LoRA Merging Paper • 2604.16826 • Published Apr 18 • 18
Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces Paper • 2604.08362 • Published Apr 9 • 16
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 509
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 639
VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors Paper • 2604.02486 • Published Apr 2 • 12
SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise Paper • 2602.12783 • Published Feb 13 • 246
Video Models Reason Early: Exploiting Plan Commitment for Maze Solving Paper • 2603.30043 • Published Mar 31 • 14