activity
20152026
most citedAutoformalization with Large Language Models

43 citations · 151 across the 29 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.AI2026

Magenta: Closing the Loop Between Mathematical Reasoning and Lean Verification

Joshua Ong Jun Leang, Haonan Li, Zheng Zhao +7

Most of mathematical knowledge has been communicated through so-called informal use of mathematics and natural language. With large language models (LLMs) being highly adept in usi…

cs.CL2026

FaithformBench: Benchmarking Faithfulness of Mathematical Chain-of-Thought Autoformalisation

Rob Cornish, Iacopo Ghinassi, Po-Hung Yeh +7

Autoformalisation (AF) systems map natural language reasoning steps into formal statements in a proof assistant such as Lean. We consider how to assess the faithfulness of these sy…

cs.SE2026

AoA: Theorem Proving Agent over Abstract Syntax Tree of Redesigned Language

Qiyuan Xu, Joshua Ong Jun Leang, Renxi Wang +4

Interactive theorem proving (ITP) underpins program verification and formalized mathematics, but its manual effort limits scalability. LLM-based proof agents promise to ease this e…

cs.AI2026

Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean Formalisation

Joshua Ong Jun Leang, Zheng Zhao, Mihaela Cătălina Stoian +5

Modern Lean theorem provers achieve strong performance only with substantial training and inference compute, driven in part by scarce verified proof data and the long reasoning tra…

cs.MA2026

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams

Yinsicheng Jiang, Liang Cheng, Yeqi Huang +6

LLM agents are increasingly deployed as multi-role teams, where tasks are divided across specialized roles such as planner, executor, and verifier. In these systems, cost and accur…

cs.CL2026

Hierarchical Alignment: Enforcing Hierarchical Instruction-Following in LLMs through Logical Consistency

Shu Yang, Zihao Zhou, Di Wang +1

Large language models increasingly operate under multiple instructions from heterogeneous sources with different authority levels, including system policies, user requests, tool ou…

cs.AI2026

Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models

Joshua Ong Jun Leang, Yu Zhao, Mihaela Cătălina Stoian +3

While plan-and-infill decoding in Masked Diffusion Models (MDMs) shows promise for mathematical and code reasoning, performance remains highly sensitive to slot infilling order, of…

cs.AI2026

Neural Theorem Proving for Verification Conditions: A Real-World Benchmark

Qiyuan Xu, Xiaokun Luan, Renxi Wang +5

Theorem proving is fundamental to program verification, where the automated proof of Verification Conditions (VCs) remains a primary bottleneck. Real-world program verification fre…

cs.AI2026

Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics

Junqi Liu, Zihao Zhou, Zekai Zhu +10

Agentic systems have recently become the dominant paradigm for formal theorem proving, achieving strong performance by coordinating multiple models and tools. However, existing app…