SOURCE-LINKED INTELLIGENCE

Investigating Knowledge Transfer Across Interactive Dialogue Games

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

Dialogue games represent a challenging setting where complex cognitive skills are required to accomplish tasks while coordinating with other players. Considering that language represents an interface for both understanding the game rules and executing actions, it is reasonable to assume that training on a specific language game will enhance specific capabilities that might be relevant for other tasks as well. Motivated by this rationale, in this paper, we investigate how knowledge transfers across different dialogue games. We study transferability by finetuning LLM models on games from the cle

Read original source ↗ Open in workspace

recordType

paper

region

Global