5 citations · 11 across the 9 of their papers we have counts for
9 papers
A Geometric Perspective on Stabilizing Value Conflict Resolution
Saket Reddy, Andy Liu
Large Language Models (LLMs) often struggle to navigate value conflicts when trained with the compressed scalar rewards of Reinforcement Learning from Human Feedback (RLHF). To add…
Measuring Fine-Grained Negotiation Tactics of Humans and LLMs in Diplomacy
Wenkai Li, Lynnette Hui Xian Ng, Andy Liu +1
The study of negotiation styles dates back to Aristotle's ethos-pathos-logos rhetoric. Prior efforts primarily studied the success of negotiation agents. Here, we shift the focus t…
EVALUESTEER: Measuring Reward Model Steerability Towards Values and Preferences
Kshitish Ghate, Andy Liu, Devansh Jain +5
As large language models (LLMs) are deployed globally, creating pluralistic systems that can accommodate the diverse preferences and values of users worldwide becomes essential. We…
Generative Value Conflicts Reveal LLM Priorities
Andy Liu, Kshitish Ghate, Mona Diab +3
Past work seeks to align large language model (LLM)-based assistants with a target set of values, but such assistants are frequently forced to make tradeoffs between values when de…
Evaluating LLM Agent Collusion in Double Auctions
Kushal Agrawal, Verona Teo, Juan J. Vazquez +3
Large language models (LLMs) have demonstrated impressive capabilities as autonomous agents with rapidly expanding applications in various domains. As these agents increasingly eng…
Dynamic Coalition Structure Detection in Natural Language-based Interactions
Abhishek N. Kulkarni, Andy Liu, Jean-Raphael Gaglione +2
In strategic multi-agent sequential interactions, detecting dynamic coalition structures is crucial for understanding how self-interested agents coordinate to influence outcomes. H…
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
Wenkai Li, Jiarui Liu, Andy Liu +3
In this work, we tackle the challenge of embedding realistic human personality traits into LLMs. Previous approaches have primarily focused on prompt-based methods that describe th…
Evaluating Large Language Model Biases in Persona-Steered Generation
Andy Liu, Mona Diab, Daniel Fried
The task of persona-steered text generation requires large language models (LLMs) to generate text that reflects the distribution of views that an individual fitting a persona coul…
Computational Language Acquisition with Theory of Mind
Andy Liu, Hao Zhu, Emmy Liu +2
Unlike current state-of-the-art language models, young children actively acquire language through interactions with their surrounding environment and caretakers. One mechanism that…