Text Generation
English
chess
puzzles
chess-games
stockfish
fen
best-move
uci
san
text-generation-inference
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@@ -48,4 +48,14 @@ Achieved `train loss 0.3594, val loss 0.3710` on combined corpus after training
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  ## Citation
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- **Citation COMING SOON!**
 
 
 
 
 
 
 
 
 
 
 
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  ## Citation
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+ ```bibtex
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+ @misc{tang2026generalizationmemorizationbrittlenesstesting,
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+ title={Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models},
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+ author={Ethan Tang},
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+ year={2026},
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+ eprint={2605.17565},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.AI},
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+ url={https://arxiv.org/abs/2605.17565},
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+ }
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+ ```