ChessGPT: Bridging Policy Learning and Language Modeling Xidong Feng
–Neural Information Processing Systems
Chess, one of the oldest and most universally played board games, presents an ideal testbed due to the wealth of both policy data and language data. In terms of policy data, it is reported that over ten million games are played daily on Chess.com, the most frequented online chess platform.
Neural Information Processing Systems
Feb-19-2026, 00:52:11 GMT
- Country:
- Asia
- Europe
- Russia > Central Federal District
- Moscow Oblast > Moscow (0.04)
- United Kingdom > England
- Greater London > London (0.04)
- Russia > Central Federal District
- North America > United States
- Louisiana > Orleans Parish
- New Orleans (0.04)
- New York (0.04)
- Wisconsin > Milwaukee County
- Milwaukee (0.04)
- Louisiana > Orleans Parish
- Genre:
- Research Report > New Finding (0.67)
- Industry:
- Leisure & Entertainment > Games > Chess (1.00)
- Technology:
- Information Technology > Artificial Intelligence
- Games > Chess (1.00)
- Machine Learning > Neural Networks
- Deep Learning (1.00)
- Natural Language
- Chatbot (1.00)
- Large Language Model (1.00)
- Representation & Reasoning (0.92)
- Information Technology > Artificial Intelligence