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#large language models Open access Oct 2026

Agentic Software Issue Resolution with Large Language Models: A Survey

Software issue resolution task aims to address real-world issues in software repositories based on natural language descriptions provided by users, representing a key aspect of software maintenance. With the rapid development of large language models (LLMs) in reasoning and generative capabilities, LLM-based approaches...

Zhonghao Jiang, David Lo, Zhongxin Liu · 3 citations
#reinforcement learning Open access Oct 2026

From Greedy Steps to Global Optimization: Learning Sequential Test Suite Generation

With the rapid evolution of Large Language Models (LLMs), automated software testing is witnessing a paradigm shift. While proprietary models like GPT-4o demonstrate impressive capabilities, their high deployment costs and data privacy concerns make open-source LLMs the practical imperative for many academic and indust...

Guo-Qing Wang, Cheng-Ran Yang, Xiao-Xuan Zhou et al. · 0 citations

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