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Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning When we fine-tune Large Language Models...
Modern AI models often excel at complex tasks like coding or advanced mathematics, yet they frequently stumble on simple, everyday challenges—such as countin...
Understanding Axes of Difficulty For Long Context Tasks Via PredicateLongBench Large language models (LLMs) are increasingly capable of processing massive am...
Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination This paper introduces G-Frame, an adaptive multi-agent framework designed to...
Compete Then Collaborate: Frontier AI Teachers Build a Verifiable Curriculum to Improve a Coding Student Beyond Imitation This research explores how to effec...
Scientific ideas do not emerge in a vacuum; they are built upon the foundations of previous research, inheriting mechanisms and addressing limitations in a p...
Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents In complex, long-horizon tasks—such as writing code or managing multi-step technical...
Formal Mechanisms for Market Stability in Self-Interested Agent Societies: A Marketplace Simulation Study This research investigates how to maintain stable,...
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding introduces a new benchmark designed to test how well autonomous...
SkillCenter is a large-scale library designed to provide autonomous AI agents with "skills"—structured, reliable, and source-grounded units of operational kn...
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