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20242026
most citedA Survey on Deep Learning for Theorem Proving

8 citations · 9 across the 10 of their papers we have counts for

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cs.AI2026

Argus: A General-Purpose Agentic Reasoning Runtime for Long-Horizon Tasks

Boxiu Li, Zimo Wen, Yijia Fan +24

Long-horizon reasoning requires an agentic runtime that can persist when evidence supports its current approach and pivot when measurements reveal failure, hidden constraints, or a…

cs.AI2026

Euclean: Automated Geometry Problem Formalization with Unified Verification in Lean

Linbin Tang, Jingyan You, Zilin Kang +8

Recent formal reasoning systems have reached IMO-level performance, yet they leave a fragmented landscape: algebra and number theory are handled in Lean, while geometry still relie…

cs.AI2025

Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models

Chenrui Cao, Liangcheng Song, Zenan Li +4

Recent advancements, such as DeepSeek-Prover-V2-671B and Kimina-Prover-Preview-72B, demonstrate a prevailing trend in leveraging reinforcement learning (RL)-based large-scale train…

cs.AI2025

Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning

Zenan Li, Zhaoyu Li, Wen Tang +6

Large language models (LLMs) can prove mathematical theorems formally by generating proof steps (\textit{a.k.a.} tactics) within a proof system. However, the space of possible tact…

cs.AI2024

Neuro-Symbolic Data Generation for Math Reasoning

Zenan Li, Zhi Zhou, Yuan Yao +5

A critical question about Large Language Models (LLMs) is whether their apparent deficiency in mathematical reasoning is inherent, or merely a result of insufficient exposure to hi…

cs.AI2024★ 8 cited

A Survey on Deep Learning for Theorem Proving

Zhaoyu Li, Jialiang Sun, Logan Murphy +5

Theorem proving is a fundamental aspect of mathematics, spanning from informal reasoning in natural language to rigorous derivations in formal systems. In recent years, the advance…