Google researchers find a way to keep self-improving AI agents from memorizing their tests
Self-improving AI agents tend to memorize their test tasks, so their gains shrink or disappear on new ones. RRSI, a new method from Google researchers, reins in this effect and lifts scores on unseen benchmarks by up to 4.7 points while using about 30 percent fewer tokens than an unregularized…
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Source: The Decoder — Published — Category: Models
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