Champion-specific embeddings and limited MCTS in Maia-2 reduce average Jensen-Shannon divergence to 16 historical chess champions' move distributions in a new latent-space metric, even as standard move accuracy falls.
Maia-2: A unified model for human-ai alignment in chess
2 Pith papers cite this work. Polarity classification is still indexing.
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Per-100-Elo-band transformers outperform Maia-2 in move prediction accuracy across all bands and reach 0.78 AUC on outcome prediction using held-out Lichess data.
citing papers explorer
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Toward Modeling Player-Specific Chess Behaviors
Champion-specific embeddings and limited MCTS in Maia-2 reduce average Jensen-Shannon divergence to 16 historical chess champions' move distributions in a new latent-space metric, even as standard move accuracy falls.
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ChessMimic: Per-Rating Transformer Models for Human Move, Clock, and Outcome Prediction in Online Blitz Chess
Per-100-Elo-band transformers outperform Maia-2 in move prediction accuracy across all bands and reach 0.78 AUC on outcome prediction using held-out Lichess data.