activity
20232026
most citedComputational Language Acquisition with Theory of Mind

5 citations · 11 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CY2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.GT2025

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…

cs.MA2025

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…