most citedAre LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues

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cs.CL20261 cited

Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues

Deuksin Kwon, Emily Weiss, Tara Kulshrestha +3

A successful negotiation requires a range of capabilities, including comprehension of the conversation context, Theory-of-Mind (ToM) skills to infer the partner's motives, strategi…

cs.CL2026

Personality Expression Across Contexts: Linguistic and Behavioral Variation in LLM Agents

Bin Han, Deuksin Kwon, Jonathan Gratch

Large Language Models (LLMs) can be conditioned with explicit personality prompts, yet their behavioral realization often varies depending on context. This study examines how ident…

cs.CL2025

Evaluating Behavioral Alignment in Conflict Dialogue: A Multi-Dimensional Comparison of LLM Agents and Humans

Deuksin Kwon, Kaleen Shrestha, Bin Han +2

Large Language Models (LLMs) are increasingly deployed in socially complex, interaction-driven tasks, yet their ability to mirror human behavior in emotionally and strategically co…

cs.CL2025

ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization

Deuksin Kwon, Jiwon Hae, Emma Clift +3

Negotiation requires dynamically balancing self-interest and cooperation within the flow of conversation to maximize one's own utility. Yet, existing agents struggle due to bounded…

cs.CL2025

Can Vision Language Models Understand Mimed Actions?

Hyundong Cho, Spencer Lin, Tejas Srinivasan +4

Nonverbal communication (NVC) plays an integral role in human language, but studying NVC in general is challenging because of its broad scope and high variance in interpretation am…