Grounding Player Intent in Game Commands: A Study of Compact Language Model Adaptation
Large language models can interpret user requests plausibly yet fail to produce actions that satisfy structural constraints. We study this problem in Dungeons & Dragons (D&D) combat, where player intent must be grounded in the current game state and translated into well-formed commands for Avrae, a Discord-based D&D au...