most citedAn Empirical Study on Challenges for LLM Application Developers

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.SE2025

ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought Prompting

Zhijie Chen, Xiang Chen, Ziming Li +2

Context: Software Vulnerability Assessment (SVA) plays a vital role in evaluating and ranking vulnerabilities in software systems to ensure their security and reliability. Objectiv…

cs.LG2025

Resource-Efficient Automatic Software Vulnerability Assessment via Knowledge Distillation and Particle Swarm Optimization

Chaoyang Gao, Xiang Chen, Jiyu Wang +2

The increasing complexity of software systems has led to a surge in cybersecurity vulnerabilities, necessitating efficient and scalable solutions for vulnerability assessment. Howe…

cs.SE2025

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion

Chaoyang Gao, Xiang Chen, Guangbei Zhang

Context: Software vulnerability assessment (SVA) is critical for identifying, evaluating, and prioritizing security weaknesses in software applications. Objective: Despite the incr…

cs.SE2025

An Empirical Study of OpenAI API Discussions on Stack Overflow

Xiang Chen, Jibin Wang, Chaoyang Gao +2

The rapid advancement of large language models (LLMs), represented by OpenAI's GPT series, has significantly impacted various domains such as natural language processing, software…

cs.SE2024★ 1 cited

An Empirical Study on Challenges for LLM Application Developers

Xiang Chen, Chaoyang Gao, Chunyang Chen +2

In recent years, large language models (LLMs) have seen rapid advancements, significantly impacting various fields such as computer vision, natural language processing, and softwar…