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Ahmad Abdellatif

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Preprint Sep 2026

Understanding and Mitigating Library-Related Issues in LLM-Generated Code

Software practitioners increasingly rely on Large Language Models (LLMs) to generate code that integrates external libraries. However, LLMs often produce incorrect library usage, such as invalid imports, outdated API calls, and hallucinated dependencies, leading to compilation or runtime failures that reduce the reliab...

Yacine Majdoub, Rinad Hamid, Eya Ben Charrada et al. · 0 citations
#machine learning Preprint Sep 2026

From Codebase to Culprit (C2C): Reducing the Search Space for Bugs with Semantic Retrieval and Hierarchical Reinforcement Learning

We introduce C2C (From Codebase to Culprit), a framework for precise bug localization that progressively reduces the debugging search space across multiple levels of granularity: files, functions, and lines of code. To mirror developer's natural top-down debugging workflows, C2C integrates semantic retrieval and Hierar...

Ankur Garg, Corey Yang-Smith, Rishav Rishav et al. · 0 citations

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