collaborators

6 papers

cs.MA2026

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems

Congjia Tian, Yuhang Yao, Jiaming Cui

Large language model (LLM) multi-agent systems increasingly depend not only on how individual agents reason, but also on how agents are connected. This paper introduces QueenBee Pl…

cs.SE2026

LiveFMBench: Unveiling the Power and Limits of Agentic Workflows in Specification Generation

Dong Xu, Jialun Cao, Guozhao Mo +9

Formal specification is essential for rigorous program verification, yet writing correct specifications remains costly and difficult to automate. Although large language models (LL…

cs.SE2026

Automated LTL Specification Generation from Industrial Aerospace Requirements

Zhi Ma, Xiao Liang, Cheng Wen +5

In the development and verification of safety-critical aero-space software, Linear Temporal Logic (LTL) has been widely used to specify complex system properties derived from requi…

cs.SE2025

Bridging Natural Language and Formal Specification--Automated Translation of Software Requirements to LTL via Hierarchical Semantics Decomposition Using LLMs

Zhi Ma, Cheng Wen, Zhexin Su +4

Automating the translation of natural language (NL) software requirements into formal specifications remains a critical challenge in scaling formal verification practices to indust…

cs.AI2025

From Informal to Formal -- Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs

Jialun Cao, Yaojie Lu, Meiziniu Li +9

The research in AI-based formal mathematical reasoning has shown an unstoppable growth trend. These studies have excelled in mathematical competitions like IMO and have made signif…

cs.SE2025

MFH: A Multi-faceted Heuristic Algorithm Selection Approach for Software Verification

Jie Su, Liansai Deng, Cheng Wen +6

Currently, many verification algorithms are available to improve the reliability of software systems. Selecting the appropriate verification algorithm typically demands domain expe…