activity
20162026
most citedIs ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech

213 citations · 383 across the 32 of their papers we have counts for

collaborators
Showing 2026Show all

9 papers · 1 filter

cs.RO2026

Instruction-Conditioned Motion Control for Robotic Arms: Language-to-Code Decomposition and Reinforcement Learning

Fan Huang, Dezhong Tong, Changyu Chen +2

Instruction-Conditioned Motion Control (ICMC) separates parameter specification, instruction generation, and code synthesis for language-driven robot control, making execution outc…

cs.MA2026

Behavior is Not Enough: A Mechanism-Based Evaluation of Social Norm Emergence in LLM Societies

Rasika Muralidharan, Haewoon Kwak, Jisun An

Social norms cannot be identified from behavior alone: the same cooperative equilibrium may reflect shared expectations, strategic incentives, or simple imitation. Yet in multi-age…

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

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…

cs.SI2026

LLMs Can Infer Political Alignment from Online Conversations

Byunghwee Lee, Sangyeon Kim, Filippo Menczer +3

Due to the correlational structure in our traits such as identities, cultures, and political attitudes, seemingly innocuous preferences like following a band or using a specific sl…

cs.AI2026

XChoice: Explainable Evaluation of AI-Human Alignment in LLM-based Constrained Choice Decision Making

Weihong Qi, Fan Huang, Rasika Muralidharan +2

We present XChoice, an explainable framework for evaluating AI-human alignment in constrained decision making. Moving beyond outcome agreement such as accuracy and F1 score, XChoic…

cs.CL2026★ 1 cited

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…