4 citations · 6 across the 3 of their papers we have counts for
5 papers
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…
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…
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…
Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots
Chenhan Lyu, Yutong Song, Pengfei Zhang +1
Mental health applications have emerged as a critical area in computational health, driven by rising global rates of mental illness, the integration of AI in psychological care, an…
DEMENTIA-PLAN: An Agent-Based Framework for Multi-Knowledge Graph Retrieval-Augmented Generation in Dementia Care
Yutong Song, Chenhan Lyu, Pengfei Zhang +3
Mild-stage dementia patients primarily experience two critical symptoms: severe memory loss and emotional instability. To address these challenges, we propose DEMENTIA-PLAN, an inn…