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cs.AI2026
Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving
Shuo Xu, Jiakun Zhang, Junyu Lai +2
Automated theorem proving with large language models in Lean 4 is commonly approached through either step-level tactic prediction with tree search or whole-proof generation. These…
cs.AI2025
LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation
Junyu Lai, Jiakun Zhang, Shuo Xu +6
Recent advancements in large language models (LLMs) have sparked considerable interest in automated theorem proving and a prominent line of research integrates stepwise LLM-based p…
cs.AI2024
Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines
Junyu Lai, Jiahe Xu, Yao Yang +3
Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing and reasoning tasks. However, their performance in the fou…