11 citations · 17 across the 8 of their papers we have counts for
10 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…
AP-GRPO: Anchor-Gated Phonetic Alignment with Policy Optimization for Pathological Speech Reconstruction
Pengfei Zhang, Hoang H Nguyen, Yutong Song +6
Pathological speech from patients with neurodegenerative and neuromotor disorders is often acoustically distorted and linguistically fragmented, making pathological speech reconstr…
Can the Environment Speak for Itself? -GRPO: A Turn-Trajectory Group Relative Policy Optimization for Caregiver Agents
Yutong Song, Jiang Wu, Pengfei Zhang +4
Optimizing large language models (LLMs) for long-horizon caregiver agents requires balancing delayed task objectives with immediate environment dynamics, such as patient distress a…
DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action Simulation
Yutong Song, Jiang Wu, Kazi Sharif +3
Simulating dementia patients with large language models (LLMs) is challenging due to the need to jointly model cognitive impairment, emotional dynamics, and nonverbal behaviors ove…
Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs
Yutong Song, Jiang Wu, Shaofan Yuan +5
Personalized large language models are often expected to follow explicit style instructions, yet we find that such instructions can undermine the user-specific characteristics that…
CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation
Yutong Song, Jiang Wu, Weijia Zhang +7
Adapting large language models to individual users remains challenging due to the tension between fine-grained personalization and scalable deployment. We present CARD, a hierarchi…
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…
Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting
Zhongqi Yang, Yuning Wang, Ken S. Yamashita +6
Emotional states, as indicators of affect, are pivotal to overall health, making their accurate prediction before onset crucial. Current studies are primarily centered on immediate…