Heng Ji

Learn a critic for coding agents from human-in-the-loop interaction traces alone, sidestepping the need for dense, verifiable rewards.

Protein language models, despite borrowing NLP architectures, distribute information across layers very differently, but a simple early-exit strategy can exploit this to boost both accuracy and efficiency.

Forget prompt engineering and fine-tuning: this "Reasoning Inception" method injects targeted reasoning into LLM agents at test time to fix conversational errors on the fly.