Khushbu Pahwa

Forget fine-tuning behemoth LLMs for every new task – this paper shows how a tiny, nimble model generating smart supplements can unlock surprisingly strong agentic performance from frozen giants.

Optimizing LLMs for generating multiple attempts (pass@k) can actually *hurt* their ability to get it right on the first try (pass@1) due to subtle prompt interference effects.