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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…

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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

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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…

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