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Elizaveta Tennant

3 accepted papers

2025

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia

NeurIPS 2025poster

Large Language Model (LLM) agents have demonstrated impressive capabilities for social interaction and are increasingly being deployed in situations where they might engage with both human and artificial agents. These interactions represent a critical frontier for LLM-based agents, yet existing eval…

Cited by 0SourceScholar
2023

Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning

IJCAI 2023poster

Practical uses of Artificial Intelligence (AI) in the real world have demonstrated the importance of embedding moral choices into intelligent agents. They have also highlighted that defining top-down ethical constraints on AI according to any one type of morality is extremely challenging and can pos…