IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation
arXiv:2601.03511v2 Announce Type: replace-cross
Abstract: A major challenge for the operation of large language models (LLMs) is how to predict whether a specific LLM will produce sufficiently high-quality output for a given query. Existing approaches…