3 citations · 7 across the 18 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…