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Kevin R. McKee

3 accepted papers

2026

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models

ICLR 2026poster

The tendency of users to anthropomorphise large language models (LLMs) is of growing societal interest. Here, we present AnthroBench: a novel empirical method and tool for evaluating anthropomorphic LLM behaviours in realistic settings. Our work introduces three key advances; first, we develop a mul…

Cited by 0SourcecodeScholar
2025

Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling

IJCAI 2025

Opponent modeling methods typically involve two crucial steps: building a belief distribution over opponents' strategies, and exploiting this opponent model by playing a best response. However, existing approaches typically require domain-specific heurstics to come up with such a model, and algorith

Cited by 0SourcePDFScholar
2021

Collaborating with Humans without Human Data

NeurIPS 2021spotlight

Collaborating with humans requires rapidly adapting to their individual strengths, weaknesses, and preferences. Unfortunately, most standard multi-agent reinforcement learning techniques, such as self-play (SP) or population play (PP), produce agents that overfit to their training partners and do no…

Cited by 201SourcePDFScholar