DTCA: Denoising Token Credit Assignment for Reinforcement Learning in Diffusion Language Models Paper • 2610.35201 • Published 5 days ago • 14
The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents Paper • 2610.36077 • Published 5 days ago • 390
Ψ-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model Paper • 2610.32177 • Published 8 days ago • 4
Realism VS Accuracy: Event Sequence Forecasting from a Generative Modeling Perspective Paper • 2610.12586 • Published 23 days ago • 10
Player-1: Learning to Play from Synthetic Experience Paper • 2610.20584 • Published 17 days ago • 258
A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization Paper • 2610.12183 • Published 23 days ago • 14
InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation Paper • 2610.02196 • Published 30 days ago • 63
UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation Paper • 2609.12397 • Published Sep 17 • 37
EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents Paper • 2609.17632 • Published Sep 15 • 37
NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction Paper • 2609.10715 • Published Sep 9 • 198
Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM Paper • 2609.04098 • Published Sep 3 • 65
Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners Paper • 2608.19863 • Published Aug 20 • 5
FM-Bench: A Benchmark for Long-Horizon Management with Competing Agents Paper • 2608.18423 • Published Aug 19 • 15
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution Paper • 2608.00677 • Published Aug 1 • 196
DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments? Paper • 2608.10366 • Published Aug 11 • 10
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning Paper • 2608.06197 • Published Aug 6 • 47
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Paper • 2608.01851 • Published Aug 3 • 10