mlsanityData to 14 Oct 2026

Formal Mathematical Reasoning: A New Frontier in AI

arXiv 2412.16075 ↗First posted 20 Dec 2024cs.AI cs.LG cs.LOcited by 81

On the map: LLM reasoning → Mathematical reasoning

Abstract (arXiv)

AI for Mathematics (AI4Math) is not only intriguing intellectually but also crucial for AI-driven discovery in science, engineering, and beyond. Extensive efforts on AI4Math have mirrored techniques in NLP, in particular, training large language models on carefully curated math datasets in text form. As a complementary yet less explored avenue, formal mathematical reasoning is grounded in formal systems such as proof assistants, which can verify the correctness of reasoning and provide automatic feedback. In this position paper, we advocate for formal mathematical reasoning and argue that it is indispensable for advancing AI4Math to the next level. In recent years, we have seen steady progress in using AI to perform formal reasoning, including core tasks such as theorem proving and autoformalization, as well as emerging applications such as verifiable generation of code and hardware designs. However, significant challenges remain to be solved for AI to truly master mathematics and achieve broader impact. We summarize existing progress, discuss open challenges, and envision critical milestones to measure future success. At this inflection point for formal mathematical reasoning, we call on the research community to come together to drive transformative advancements in this field.

Key facts. Cited by 81 papers in the map (data through 14 Oct 2026). Placed in Mathematical reasoning, one of 17 directions in LLM reasoning. Builds on 170 of its 277 references that are in the map. First posted on arXiv 20 Dec 2024.

Builds on

170 of 277 references.

Closest ancestors · 21

Same direction, newest first

  1. 2024FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI7 Nov
  2. 2024Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning17 Oct
  3. 2024Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers10 Oct
  4. 2024Herald: A Natural Language Annotated Lean 4 Dataset9 Oct
  5. 2024GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models7 Oct
  6. 2024Lean-STaR: Learning to Interleave Thinking and Proving14 Jul
  7. 2024Process-Driven Autoformalization in Lean 44 Jun
  8. 2024MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning13 May
  9. 2024Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning1 May
  10. 2024Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization26 Mar
  11. 2024Machine learning and information theory concepts towards an AI Mathematician7 Mar
  12. 2024MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data14 Feb
9 more
  1. 2024InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning9 Feb
  2. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models5 Feb
  3. 2023Llemma: An Open Language Model For Mathematics16 Oct
  4. 2023OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text10 Oct
  5. 2023ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving29 Sep
  6. 2022Peano: Learning Formal Mathematical Reasoning29 Nov
  7. 2022LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions16 Nov
  8. 2022Solving Quantitative Reasoning Problems with Language Models29 Jun
  9. 2020Generative Language Modeling for Automated Theorem Proving7 Sep

Other references · 149

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  26. 2021MiniF2F: a cross-system benchmark for formal Olympiad-level mathematicscited by 391
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50 most cited of 149 All 149 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 56; 2026: 25.

81 papers.

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  2. 2025Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Modelscited by 384
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  5. 2025A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systemscited by 111
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  8. 2025STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Provingcited by 79
  9. 2025Hilbert: Recursively Building Formal Proofs with Informal Reasoningcited by 60
  10. 2026A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agentscited by 50
  11. 2025FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Modelscited by 48
  12. 2025VERINA: Benchmarking Verifiable Code Generationcited by 34
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  4. 2025MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Provingcited by 24
  5. 2025Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMscited by 22
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  9. 2026Large Language Model Reasoning Failurescited by 21
  10. 2025From Informal to Formal -- Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofscited by 18
  11. 2025Mathesis: Towards Formal Theorem Proving from Natural Languagescited by 18
  12. 2025Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoningcited by 17
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  18. 2025Theorem Prover as a Judge for Synthetic Data Generationcited by 14
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50 most cited of 81 All 81 (JSON)

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