3 citations · 7 across the 18 of their papers we have counts for
20 papers
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…
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…
When AI Becomes Routine: A Decade of Public AI Mediation in Korean Go Commentary
Haewoon Kwak
When AI systems surpass elite human performance and settle into everyday expert practice, the question that follows is how machine judgment is made publicly intelligible and attrib…
Leadership as Coordination Control: Behavioral Signatures and the Recovery-Advantage Boundary in Multi-Agent LLM Teams
Haewoon Kwak
Team science holds that leadership is contingent: it helps only under specific conditions. We ask the same question of multi-agent LLM teams: under what measurable conditions does…
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…
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…
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…
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…
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…
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…
What Helps Language Models Predict Human Beliefs: Demographics or Prior Stances?
Joseph Malone, Rachith Aiyappa, Byunghwee Lee +3
Beliefs shape how people reason, communicate, and behave. Rather than existing in isolation, they exhibit a rich correlational structure--some connected through logical dependencie…
Can Lessons From Human Teams Be Applied to Multi-Agent Systems? The Role of Structure, Diversity, and Interaction Dynamics
Rasika Muralidharan, Haewoon Kwak, Jisun An
Multi-Agent Systems (MAS) with Large Language Model (LLM)-powered agents are gaining attention, yet fewer studies explore their team dynamics. Inspired by human team science, we pr…
Gendered Cultural Discourse in Japan across the Prewar-Postwar Transition: Evidence from Historical Word Embeddings
Shintaro Sakai, Haewoon Kwak, Jisun An +1
We quantify the evolution of gender stereotypes in Japan from 1900 to 1998, covering the prewar-postwar transition, using a series of yearly word embeddings trained on historical t…
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…
A Cross-Cultural Comparison of LLM-based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies
Weihong Qi, Fan Huang, Jisun An +1
This study evaluates the ability of DeepSeek, an open-source large language model (LLM), to simulate public opinions in comparison to LLMs developed by major tech companies. By com…
A semantic embedding space based on large language models for modelling human beliefs
Byunghwee Lee, Rachith Aiyappa, Yong-Yeol Ahn +2
Beliefs form the foundation of human cognition and decision-making, guiding our actions and social connections. A model encapsulating beliefs and their interrelationships is crucia…
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity
Zoher Kachwala, Jisun An, Haewoon Kwak +1
Knowledge graphs play a pivotal role in various applications, such as question-answering and fact-checking. Abstract Meaning Representation (AMR) represents text as knowledge graph…
ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?
Fan Huang, Haewoon Kwak, Kunwoo Park +1
As AI becomes more integral in our lives, the need for transparency and responsibility grows. While natural language explanations (NLEs) are vital for clarifying the reasoning behi…
Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance
Rachith Aiyappa, Shruthi Senthilmani, Jisun An +2
We investigate the performance of LLM-based zero-shot stance detection on tweets. Using FlanT5-XXL, an instruction-tuned open-source LLM, with the SemEval 2016 Tasks 6A, 6B, and P-…
ToBlend: Token-Level Blending With an Ensemble of LLMs to Attack AI-Generated Text Detection
Fan Huang, Haewoon Kwak, Jisun An
The robustness of AI-content detection models against sophisticated adversarial strategies, such as paraphrasing or word switching, is a rising concern in natural language generati…