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We introduce an approach to evaluate language model (LM) agency using negotiation games.
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Arpad E Elo and Sam Sloan · 1978
Earlier work this paper cites.
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Chapter 35 Cooperative models of bargaining , volume 2, pp. 1237–1284
William Thomson · 1994
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Jim R Oliver · 1996
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Earlier work this paper cites.
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Earlier work this paper cites.
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