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Zhoujun Li

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Book Open access Oct 2026

From Bytes to Semantics: LLM-Agent-Driven Commit Message Generation for Non-Code Assets

Modern software projects increasingly version binary assets alongside source code—files that encode semantic logic authored by engineers yet are stored as opaque blobs by version control systems. Such assets appear across diverse domains: gameplay logic in game engines, circuit designs in EDA tools, and scene hierarchi...

Li-Ran Wang, Zhou-Jun Li · 0 citations
Book Open access Oct 2026

From Bytes to Semantics: LLM-Agent-Driven Commit Message Generation for Non-Code Assets

Modern software projects increasingly version binary assets alongside source code—files that encode semantic logic authored by engineers yet are stored as opaque blobs by version control systems. Such assets appear across diverse domains: gameplay logic in game engines, circuit designs in EDA tools, and scene hierarchi...

Li-Ran Wang, Zhou-Jun Li · 0 citations
Jul 2026

FinanceComplexQA: Benchmarking Agentic Reasoning on Industrial-grade Financial Documents

This work designs Finance-LaTeX SKILL, a skill for synthesizing financial documents with complex layouts based on expert knowledge, and introduces FinanceComplexQA, a comprehensive open-ended generation benchmark for financial documents that closely resembles real-world scenarios.

Xianfu Cheng, Shiwei Zhang, Jiyu Zhao et al. · 2 citations
#natural language process... Preprint Aug 2026

S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement?

These findings show that recognizing successful actions is insufficient; agents must also transform feedback into executable and transferable policies, and provide a unified framework for diagnosing this process and identifying the bottlenecks that prevent agents from translating interaction experience into reliable se...

Jia-Jun Shi, Siyang Tao, Yu-Hao Wu et al. · 2 citations

L pCoder ∞ : Scaling Code Intelligence via Looped Language Models

This work presents LoopCoder pre-trained on 12T+ code and general tokens, along with LoopCoder-Thinking and LoopCoder-Instruct variants, the first large-scale looped transformer for code, achieving comparable performance to standard dense architectures with more parameters.

Jian Yang, Wei Zhang, Shawn Guo et al. · 0 citations

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