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 …

Large Language Models (LLMs) have been successful in mathematical reasoning tasks
such as formal theorem proving when integrated with interactive proof assistants like Lean …

Mathematical theorem proving is an important testbed for large language models' deep and
abstract reasoning capability. This paper focuses on improving LLMs' ability to write proofs …

Mathematical reasoning remains a significant challenge for Large Language Models (LLMs)
due to hallucinations. When combined with formal proof assistants like Lean, these …

Reasoning LLMs such as OpenAI o1, o3 and DeepSeek R1 have made significant progress
in mathematics and coding, yet find challenging advanced tasks such as International …

Large Language Models (LLMs) have shown promise in proving formal theorems using
proof assistants like Lean. However, current state of the art language models struggles to …

Recent advancements in neural theorem proving integrate large language models with tree
search algorithms like Monte Carlo Tree Search (MCTS), where the language model …

Stronger automation in formal mathematical reasoning provides scalability, trust-worthiness,
and accessibility: it enables efficient verification of complex proofs, reduces the likelihood of …

Formal theorem proving is challenging for humans as well as for machines. Thanks to recent
advances in LLM capabilities, we believe natural language can serve as a universal …