Farina
PulseAugur coverage of Farina — every cluster mentioning Farina across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New algorithm HOOD guarantees constant regret in general games
Researchers have developed a new learning algorithm called HOOD (higher-order optimism with discounting) that guarantees a specific level of individual regret in general N-player normal form games. This algorithm, a var…
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New LLM pipeline aids word sense disambiguation for historical languages
Researchers have developed Inspicio, a novel pipeline designed to improve Word Sense Disambiguation for historical and low-resource languages. Unlike traditional methods that require existing sense inventories, Inspicio…
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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…