CogSENet: Blind Image Deblurring with Blur-Conditioned Semantic Routing and Explicit Frequency Fusion Paper • 2606.30030 • Published 26 days ago • 7
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published 27 days ago • 171
To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program Repair Paper • 2606.26978 • Published 30 days ago • 4
ViT-Up: Faithful Feature Upsampling for Vision Transformers Paper • 2606.14024 • Published Jun 12 • 9
HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction Paper • 2605.23889 • Published May 22 • 4
SOD: Step-wise On-policy Distillation for Small Language Model Agents Paper • 2605.07725 • Published May 8 • 26
Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information Paper • 2605.11609 • Published May 12 • 196
Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models Paper • 2605.08472 • Published May 8 • 5
CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence Paper • 2605.12882 • Published May 13 • 274
Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models Paper • 2605.07721 • Published May 8 • 29
From Context to Skills: Can Language Models Learn from Context Skillfully? Paper • 2604.27660 • Published May 3 • 171
LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction Paper • 2604.19550 • Published Apr 21 • 5
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver Paper • 2604.08377 • Published Apr 9 • 295
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability Paper • 2604.06628 • Published Apr 8 • 329
MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models Paper • 2603.28590 • Published Mar 30 • 22