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No-Regret Language Generation
A theoretical paper that proposes the framework of no-regret generation, treating language generation as an online decision-making problem. It characterizes complexity using the tree-based forcing error dimension and gives necessary and sufficient conditions for sublinear regret.
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Oct 19
The paper "No-Regret Language Generation" proposes the theoretical framework of "no-regret generation", establishing regret-bound analysis akin to online prediction for language generation tasks.
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