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cs.CL2026
From Clinical Judgment to Checkable Rules: Clinician-Led Guardrails for Mental-Health Chatbots
Chenhan Lyu, Kit Wislocki, Sarah Elizabeth Stoeckl +2
Large language models (LLMs) deployed in mental-health contexts can be evaluated for safety failures, but the resulting judgments are often difficult to inspect or explain. Common…
cs.CL2026
Auditing Safety Preference Supervision with Recorded Derivations
Chenhan Lyu, Amir Rahmani
Preference labels align model training, but the judgments behind them are difficult to inspect or verify. In this paper, we examine how preference construction can be checked when…
cs.CL2026
MedSpeak: A Knowledge Graph-Aided ASR Error Correction Framework for Spoken Medical QA
Yutong Song, Shiva Shrestha, Chenhan Lyu +5
Spoken question-answering (SQA) systems relying on automatic speech recognition (ASR) often struggle with accurately recognizing medical terminology. To this end, we propose MedSpe…