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20232026
most citedFreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

7 citations · 16 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Breaking the high-degree barrier in Lehmer's problem with a human-AI discovery loop

Yuri Chervonyi, Sergei Gukov, Thang Luong

While artificial intelligence has made rapid progress in mathematical reasoning, many open problems depend on structure that is revealed only through large-scale computational expl…

cs.AI2026

LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks

Po-Nien Kung, Linfeng Song, Dawsen Hwang +10

Large Language Models (LLMs) exhibit strong informal mathematical reasoning but struggle to generate mechanically verifiable proofs in formal languages like Lean. We present LEAP,…

cs.AI2026

Aletheia tackles FirstProof autonomously

Tony Feng, Junehyuk Jung, Sang-hyun Kim +14

We report the performance of Aletheia (Feng et al., 2026b), a mathematics research agent powered by Gemini 3 Deep Think, on the inaugural FirstProof challenge. Within the allowed t…

cs.LG2026★ 3 cited

Towards Autonomous Mathematics Research

Tony Feng, Trieu H. Trinh, Garrett Bingham +25

Recent advances in foundational models have yielded reasoning systems capable of achieving a gold-medal standard at the International Mathematical Olympiad. The transition from com…

cs.AI2026★ 3 cited

Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems

Tony Feng, Trieu Trinh, Garrett Bingham +21

We present a case study in semi-autonomous mathematics discovery, using Gemini to systematically evaluate 700 conjectures labeled 'Open' in Bloom's Erdős Problems database. We empl…