Author

Samira Ebrahimi Kahou

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#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

#artificial intelligence Jun 2026

Discovering Latent Groups for Robust Classification

The experiments show that the learned tree topology provides strong interpretability by consistently isolating minority subgroups, which provides a transparent mapping between the model architecture and the data's latent group structure, while yielding competitive robustness with state-of-the-art methods.

Ankur Garg, Ulrich Aivodji, S. Kahou et al. · arXiv.org · 0 citations