Reingold
PulseAugur coverage of Reingold — every cluster mentioning Reingold across labs, papers, and developer communities, ranked by signal.
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LLM evaluation bias: Winner's curse inflates performance metrics
A common practice in LLM evaluation, where multiple prompt variations are tested against a fixed dataset and the best-performing one is selected, can lead to inflated performance metrics. This is due to the 'winner's cu…
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New research simplifies online learning to multicalibration reduction
Researchers have developed a new black-box reduction from online learning to online multicalibration, which simplifies achieving high-dimensional multicalibration. This method combines any no-regret learner with an expe…
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New MBLG Framework Achieves Polynomial-Time Generation
Researchers have developed a polynomial-time version of the mistake-bounded language generation (MBLG) framework. This new framework demonstrates that families of parities and conjunctions of literals can be generated w…