SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning Paper • 2607.14777 • Published 28 days ago • 106
When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers Paper • 2607.00394 • Published Jul 1 • 6
Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation Paper • 2606.01048 • Published May 31 • 14
QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks Paper • 2605.24218 • Published May 22 • 47
Raster2Seq: Polygon Sequence Generation for Floorplan Reconstruction Paper • 2602.09016 • Published May 11 • 5
CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence Paper • 2605.12882 • Published May 13 • 274
DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off Paper • 2604.13902 • Published Apr 15 • 62
PokeGym: A Visually-Driven Long-Horizon Benchmark for Vision-Language Models Paper • 2604.08340 • Published Apr 9 • 8
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability Paper • 2604.06628 • Published Apr 8 • 330
Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning Paper • 2603.04597 • Published Mar 4 • 211
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models Paper • 2602.22859 • Published Feb 26 • 150
Does Your Reasoning Model Implicitly Know When to Stop Thinking? Paper • 2602.08354 • Published Feb 9 • 267