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News/IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation
arxiv
PublishedMay 13, 2026 at 4:00 AM

IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation

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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 rely on external classifiers, most commonly BERT

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