7 citations · 12 across the 13 of their papers we have counts for
7 papers · 1 filter
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…
Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
Amin Banayeeanzade, Ala N. Tak, Fatemeh Bahrani +5
The ability to control LLMs' emulated emotional states and personality traits is an essential step in enabling rich, human-centered interactions in socially interactive settings. W…
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…
Mechanistic Interpretability of Emotion Inference in Large Language Models
Ala N. Tak, Amin Banayeeanzade, Anahita Bolourani +3
Large language models (LLMs) show promising capabilities in predicting human emotions from text. However, the mechanisms through which these models process emotional stimuli remain…
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…
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models
Daniel Yang, Aditya Kommineni, Mohammad Alshehri +4
The lack of contextual information in text data can make the annotation process of text-based emotion classification datasets challenging. As a result, such datasets often contain…
Can Language Model Moderators Improve the Health of Online Discourse?
Hyundong Cho, Shuai Liu, Taiwei Shi +8
Conversational moderation of online communities is crucial to maintaining civility for a constructive environment, but it is challenging to scale and harmful to moderators. The inc…