- AI · arxiv/cs.AI · 5 min
Self-Evolving Skills Let Language Models Learn From Long Context
Ctx2Skill uses multi-agent loops to automatically extract and refine skills from dense context without human annotation or external feedback.
May 1, 2026 Read → → - AI · arxiv/cs.AI · 8 min
LLMs Need Feedback Loops to Keep Code and Theory Aligned
Researchers propose Comet-H, a system that orchestrates language models through iterative cycles to prevent hallucination and desynchronization in research software development.
May 1, 2026 Read → → - AI · arxiv/cs.AI · 8 min
Human-AI Oversight Improves Video Captioning Precision
Researchers pair human critique with model generation to build video-language models that match closed-source systems through structured specification and iterative refinement.
April 24, 2026 Read → →