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# MM-IssueLoc Bench
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> **MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization**
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> [📄 arXiv](https://arxiv.org/abs/2607.15205) · [💻 Evaluation toolkit](https://github.com/Jasaxion/MM-IssueLoc-Bench)
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Repository-level, multimodal **issue → source-code localization**. Given a GitHub issue (title + body + screenshots) and a target repository, retrieve the **file(s)** and **function(s)** that must be edited to resolve it — with visual evidence treated as an explicit input, decoupled from patch synthesis.
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Both configs ship a single `test` split (pure evaluation benchmark).
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## At a glance
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- **652 instances** (450 human-annotated + 202 AI-augmented), **1050 screenshots** embedded as bytes.
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# MM-IssueLoc Bench
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> **MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization**
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>
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> [📄 arXiv](https://arxiv.org/abs/2607.15205) · [💻 Evaluation toolkit](https://github.com/Jasaxion/MM-IssueLoc-Bench)
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Repository-level, multimodal **issue → source-code localization**. Given a GitHub issue (title + body + screenshots) and a target repository, retrieve the **file(s)** and **function(s)** that must be edited to resolve it — with visual evidence treated as an explicit input, decoupled from patch synthesis.
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Both configs ship a single `test` split (pure evaluation benchmark).
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+
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## At a glance
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- **652 instances** (450 human-annotated + 202 AI-augmented), **1050 screenshots** embedded as bytes.
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