Papers by Wenmeng Zhou

2 papers
CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases (2025.naacl-long)

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Challenge: Large Language Models excel in stand-alone code tasks but struggle with handling entire code repositories.
Approach: They propose a system that integrates LLM agents with graph database interfaces extracted from code repositories.
Outcome: The proposed system integrates LLM agents with graph database interfaces extracted from code repositories.
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models (2023.emnlp-demo)

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Challenge: Large language models (LLMs) have demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior.
Approach: They propose a framework that equips large language models with tool-use capabilities . they propose LLaMA and Chat-GLM as controllers, and a model-based agent framework .
Outcome: The proposed framework equips open-source LLMs with tool-use capabilities . it provides a user-friendly system library with a customizable engine design .

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