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@@ -9,4 +9,16 @@ Model trained on chess "narratives" created from PGN notation from a large set o
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  * "White/Black moves X from Y" // X is the piece (pawn, bishop, knight, rook, queen, king) and Y is the square (e.g. e2)
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  * "The game begins as white uses the X opening" // X is a known opening move such as Sicilian
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  * "White moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king)
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- * "Black moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king)
 
 
 
 
 
 
 
 
 
 
 
 
 
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  * "White/Black moves X from Y" // X is the piece (pawn, bishop, knight, rook, queen, king) and Y is the square (e.g. e2)
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  * "The game begins as white uses the X opening" // X is a known opening move such as Sicilian
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  * "White moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king)
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+ * "Black moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king)
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+
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+ # Citation:
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+ ```
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+ @misc{feldman2020navigating,
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+ title={Navigating Human Language Models with Synthetic Agents},
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+ author={Philip Feldman and Antonio Bucchiarone},
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+ year={2020},
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+ eprint={2008.04162},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.AI}
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+ }
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+ ```