213 citations · 232 across the 15 of their papers we have counts for
8 papers · 1 filter
Reasoning Topology Matters: Network-of-Thought for Complex Reasoning Tasks
Fan Huang
Existing prompting paradigms structure LLM reasoning in limited topologies: Chain-of-Thought (CoT) produces linear traces, while Tree-of-Thought (ToT) performs branching search. Ye…
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…
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…
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…
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…
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…
Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech
Fan Huang, Haewoon Kwak, Jisun An
Recent studies have alarmed that many online hate speeches are implicit. With its subtle nature, the explainability of the detection of such hateful speech has been a challenging p…
Chain of Explanation: New Prompting Method to Generate Higher Quality Natural Language Explanation for Implicit Hate Speech
Fan Huang, Haewoon Kwak, Jisun An
Recent studies have exploited advanced generative language models to generate Natural Language Explanations (NLE) for why a certain text could be hateful. We propose the Chain of E…