2025
Playpen: An Environment for Exploring Learning From Dialogue Game Feedback
Nicola Horst, Davide Mazzaccara, Antonia Schmidt, Michael Sullivan, Filippo Moment{\`e}, Luca Franceschetti +10
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