UniMaia: Steering Chess Policies with Language for Human-like Play 事件

UniMaia: Steering Chess Policies with Language for Human-like Play arXiv:2605.27767v1 Announce Type: new Abstract: Recent advances in large language models have enabled natural language to serve as a flexible interface for controlling complex systems, but often at the cost of large-scale multimodal training or weakened domain-specific inductive biases. In structured decision-making domains such as chess, specialized policy networks achieve strong performance but lack semantic controllability, w