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Filippo Moment{\`e}

2 accepted papers

2025

Playpen: An Environment for Exploring Learning From Dialogue Game Feedback

EMNLP 2025

Interaction between learner and feedback-giver has come into focus recently for post-training of Large Language Models (LLMs), through the use of reward models that judge the appropriateness of a model’s response. In this paper, we investigate whether Dialogue Games—goal-directed and rule-governed a

2025

Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests

EMNLP 2025

We examine three evaluation paradigms: standard benchmarks (e.g., MMLU and BBH), interactive games (e.g., Signalling Games or Taboo), and cognitive tests (e.g., for working memory or theory of mind). First, we investigate which of the former two—benchmarks or games—is most effective at discriminatin