Vocabulary adaptation via targeted token addition and replacement improves semantic similarity, domain word usage, and training efficiency for LLM summarization in legal and medical domains.
Overview of the MEDIQA -Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations
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HealthBench Professional is a physician-scored benchmark of real clinician-LLM chats showing GPT-5.4 outperforming other models and human physicians on clinical tasks.
citing papers explorer
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Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization
Vocabulary adaptation via targeted token addition and replacement improves semantic similarity, domain word usage, and training efficiency for LLM summarization in legal and medical domains.
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HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats
HealthBench Professional is a physician-scored benchmark of real clinician-LLM chats showing GPT-5.4 outperforming other models and human physicians on clinical tasks.