Build, Don't Play: Self-Improving LLM Research Agents Develop a Hearthstone Battlegrounds AI That Rivals Top Players Paper • 2610.33845 • Published 4 days ago • 15
Thinking Inertia: LLMs Keep Thinking When Told Not To Paper • 2610.11765 • Published 20 days ago • 246
PreSTO: Predictive Subtree Prefetching for Fast LLM Power Sampling Paper • 2610.13171 • Published 19 days ago • 15
What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document Paper • 2610.04128 • Published 26 days ago • 13
PACT: Can Enterprise AI Assistants Be Trusted Under Pressure? Paper • 2609.18605 • Published Sep 16 • 41
ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments Paper • 2609.19134 • Published Sep 16 • 106
ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation Paper • 2609.09076 • Published Sep 8 • 25
Cadence: Error-Bounded Lossy Compression of Demand Time Series with a Time-Series Foundation Model Paper • 2609.06008 • Published Sep 5 • 19