Add Jakub paper

Author: cakiki

lichess.bib

@@ -529,6 +529,19 @@ @inproceedings{iavich:2024:detecting-fair-play-violations-chess-neural-networks
   url           = {https://ceur-ws.org/Vol-3885/paper13.pdf},
 }
 
+@inproceedings{jakub:2026:chessformer-modeling-human-decision-making-chess,
+  title         = {ChessFormer - Modeling Human Decision Making in Chess},
+  author        = {Zeman, Jakub and {\v{C}}epek, Miroslav},
+  year          = {2026},
+  booktitle     = {Modeling Decisions for Artificial Intelligence},
+  publisher     = {Springer Nature Switzerland},
+  address       = {Cham},
+  pages         = {42--53},
+  isbn          = {978-3-032-00891-6},
+  editor        = {Torra, Vicen{\c{c}} and Narukawa, Yasuo and Domingo-Ferrer, Josep},
+  abstract      = {ChessFormer introduces a novel searchless chess engine leveraging transformer architecture to approximate human decision-making in chess. Trained on a vast dataset of 3 billion chess positions, our model learns its entire decision-making process directly from training data. Evaluations show an improvement in human move-matching accuracy over prior models in high-Elo ranges and the model's ability to distinguish between human and algorithmic decision-making, offering potential applications in chess analysis or cheat detection.},
+}
+
 @article{jenner:2024:evidence-lookahead-chess-neural-network,
   title         = {Evidence of Learned Look-Ahead in a Chess-Playing Neural Network},
   author        = {Erik Jenner and Shreyas Kapur and Vasil Georgiev and Cameron Allen and Scott Emmons and Stuart Russell},