DUALVIEW is a dual-modal framework using Module Coupling, Function Call, Class Hierarchy, and Program Dependence graphs to enable persistent structural reasoning for agentic issue resolution, reporting gains on SWE-bench Pro and Verified.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
AGAR uses middle-to-late layer attention in VLMs to identify and enlarge important word spans in rendered text images, improving performance on visual text comprehension benchmarks.
citing papers explorer
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Beyond Textual Repository Exploration: Dual-Modal Structural Reasoning for Agentic Issue Resolution
DUALVIEW is a dual-modal framework using Module Coupling, Function Call, Class Hierarchy, and Program Dependence graphs to enable persistent structural reasoning for agentic issue resolution, reporting gains on SWE-bench Pro and Verified.
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Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension
AGAR uses middle-to-late layer attention in VLMs to identify and enlarge important word spans in rendered text images, improving performance on visual text comprehension benchmarks.