Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments? Paper • 2610.08215 • Published 3 days ago • 136
Collective Bias Mitigation via Model Routing and Collaboration Paper • 2610.03240 • Published 9 days ago • 20
DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF Image-Text-to-Text • 27B • Updated 16 days ago • 1.96M • 1.64k
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression Paper • 2609.19969 • Published 24 days ago • 228
ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments Paper • 2609.19134 • Published 25 days ago • 102
ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding Paper • 2609.07941 • Published Sep 7 • 19
CosmoH2G: A Hand-to-Gripper Transfer Dataset and Baseline Method for Object Manipulation with Complex Spatial Movements Paper • 2609.07498 • Published Sep 7 • 34
RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests Paper • 2608.27831 • Published Aug 31 • 33
The Embedder's Dilemma: LLMs Are Better, but at What Cost? Paper • 2608.12875 • Published Aug 13 • 16
SemComp-Bench: Benchmarking Semantic Task Completion in Video Generation Paper • 2608.17426 • Published Aug 18 • 161
SoftVTBench: A Deformation-Aware Visuo-Tactile Dataset and Benchmark for Deformable-Object Manipulation Paper • 2608.18701 • Published Aug 19 • 15
Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination Paper • 2608.14391 • Published Aug 14 • 287