GALA uses hierarchical graph alignment between UI screenshots and code structures to achieve state-of-the-art bug localization in multimodal automated program repair on SWE-bench.
arXiv preprint arXiv:2510.01003 , year=
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ViLoMem is a dual-stream grow-and-refine memory system that separates visual and logical error patterns in MLLMs to improve pass@1 accuracy and reduce repeated mistakes across six multimodal benchmarks.
LARGER boosts file localization accuracy for repository-level coding agents by integrating lexically anchored graph expansion directly into standard search loops, yielding gains of up to 13.9 points on LocBench.
citing papers explorer
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GALA: Multimodal Graph Alignment for Bug Localization in Automated Program Repair
GALA uses hierarchical graph alignment between UI screenshots and code structures to achieve state-of-the-art bug localization in multimodal automated program repair on SWE-bench.
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Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
ViLoMem is a dual-stream grow-and-refine memory system that separates visual and logical error patterns in MLLMs to improve pass@1 accuracy and reduce repeated mistakes across six multimodal benchmarks.
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LARGER: Lexically Anchored Repository Graph Exploration and Retrieval
LARGER boosts file localization accuracy for repository-level coding agents by integrating lexically anchored graph expansion directly into standard search loops, yielding gains of up to 13.9 points on LocBench.