HarvestBench: Measuring Whether LLM Agents Will Pay to Avoid Killing Animals Paper • 2609.04444 • Published 14 days ago • 5
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills Paper • 2609.02749 • Published 15 days ago • 554
ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training Paper • 2609.00188 • Published 17 days ago • 53
OmniDelta: Skill-Driven Budget Allocation for Token Compression in OmniLLMs Paper • 2607.25669 • Published Jul 28 • 10
Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs Paper • 2605.30611 • Published May 28 • 255
Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding Paper • 2605.29707 • Published May 28 • 153
AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration Paper • 2605.20025 • Published May 19 • 192
From Plans to Pixels: Learning to Plan and Orchestrate for Open-Ended Image Editing Paper • 2605.15181 • Published May 14 • 12
Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information Paper • 2605.11609 • Published May 12 • 196
IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools Paper • 2605.20682 • Published May 20 • 86
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Paper • 2605.11739 • Published May 13 • 61
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons Paper • 2604.28130 • Published Apr 30 • 24
EdgeDetect: Importance-Aware Gradient Compression with Homomorphic Aggregation for Federated Intrusion Detection Paper • 2604.14663 • Published Apr 16 • 3
A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens Paper • 2604.04913 • Published Apr 6 • 12
GBQA: A Game Benchmark for Evaluating LLMs as Quality Assurance Engineers Paper • 2604.02648 • Published Apr 3 • 48
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 511
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 641