Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs Paper • 2605.30611 • Published May 28 • 250
Learning from the Self-future: On-policy Self-distillation for dLLMs Paper • 2606.18195 • Published 21 days ago • 76
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Paper • 2606.02437 • Published Jun 1 • 237
KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving Paper • 2605.13734 • Published May 13 • 12
S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination Paper • 2605.17076 • Published May 16 • 1
CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence Paper • 2605.12882 • Published May 13 • 274
Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning Paper • 2605.06241 • Published May 7 • 5
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 638
DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models Paper • 2603.26164 • Published Mar 27 • 365
PLUME: Latent Reasoning Based Universal Multimodal Embedding Paper • 2604.02073 • Published Apr 2 • 15
Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design Paper • 2603.28376 • Published Mar 30 • 24
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 509
Astrolabe: Steering Forward-Process Reinforcement Learning for Distilled Autoregressive Video Models Paper • 2603.17051 • Published Mar 17 • 109
SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models Paper • 2603.16859 • Published Mar 17 • 248