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Learning to Discover at Test Time research paper by Stanford University, 2026

Stanford University · Retrieval and data · Jan 22, 2026 · 118 citations · 45 upvotes · unverified

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What it shows

Test-time training enables AI systems to discover optimal solutions for specific scientific problems through continual learning focused on individual challenges rather than generalization.

By Mert Yuksekgonul, Daniel Koceja, Xinhao Li and 8 more · arXiv 2601.16175 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Venue
arXiv.org
Citations
118, 16 influential · Semantic Scholar
Upvotes
45 · Hugging Face
Lab
Stanford University

Changes

CitationsNov 9, 2026Citations rose from 116 to 118.
CitationsNov 2, 2026Influential citations rose from 14 to 16.
CitationsNov 2, 2026Citations rose from 101 to 116.
CitationsOct 12, 2026Influential citations rose from 11 to 14.
CitationsOct 12, 2026Citations rose from 91 to 101.
CitationsOct 5, 2026Influential citations rose from 10 to 11.
CitationsOct 5, 2026Citations rose from 83 to 91.
CitationsSep 28, 2026Citations rose from 82 to 83.
CitationsSep 25, 2026A first count of 10 influential citations.
CitationsSep 25, 2026A first count of 82 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.