Notable data and AI papers

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627 papers · 45 labs

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling research paper by Google, 2026

Google · Agents and evaluation · May 8, 2026 · 8 citations · 70 upvotes · unverified

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What it shows

AutoTTS automates test-time scaling strategy discovery by formulating it as controller synthesis over reasoning trajectories and probe signals, achieving improved accuracy-cost tradeoffs with minimal computational overhead.

By Tong Zheng, Haolin Liu, Chengsong Huang and 10 more · arXiv 2605.08083 · PDF · Code

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

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About this paper
Venue
arXiv.org
Citations
8, 1 influential · Semantic Scholar
Upvotes
70 · Hugging Face
Lab
Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases

Changes

CitationsNov 2, 2026Citations rose from 6 to 8.
CitationsOct 12, 2026Influential citations rose from 0 to 1.
CitationsOct 12, 2026Citations rose from 4 to 6.
CitationsOct 5, 2026Citations rose from 2 to 4.
CitationsSep 25, 2026A first count of 0 influential citations.
CitationsSep 25, 2026A first count of 2 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.