collaborators

14 papers

cs.CL2026

Somatic in the East, Psychological in the West?: Investigating Clinically-Grounded Cross-Cultural Depression Symptom Expression in LLMs

Shintaro Sakai, Jisun An, Migyeong Kang +1

Prior clinical psychology research shows that Western individuals with depression tend to report psychological symptoms, while Eastern individuals report somatic ones. We test whet…

cs.CL2026

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media

Zoher Kachwala, Bao Tran Truong, Rasika Muralidharan +3

Social media are shifting towards pluralism -- community-governed platforms where groups define their own norms. What violates rules in one community may be perfectly acceptable in…

cs.AI2026

CogBias: Measuring and Mitigating Cognitive Bias in Large Language Models

Fan Huang, Songheng Zhang, Haewoon Kwak +1

Large Language Models (LLMs) are increasingly deployed in high-stakes decision-making contexts. While prior work has shown that LLMs exhibit cognitive biases behaviorally, whether…

cs.CL2026

SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification

Migyeong Kang, Jihyun Kim, Hyolim Jeon +6

Psychiatric symptom identification on social media aims to infer fine-grained mental health symptoms from user-generated posts, allowing a detailed understanding of users' mental s…

cs.CL2026

Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions

Fan Huang, Haewoon Kwak, Jisun An

Large Language Models (LLMs) are increasingly employed in various question-answering tasks. However, recent studies showcase that LLMs are susceptible to persuasion and could adopt…

cs.CL2026

Understanding Moral Reasoning Trajectories in Large Language Models: Toward Probing-Based Explainability

Fan Huang, Haewoon Kwak, Jisun An

Large language models (LLMs) increasingly participate in morally sensitive decision-making, yet how they organize ethical frameworks across reasoning steps remains underexplored. W…