arXiv Computer Vision
InfoAgent: Traceable Generation and Repair of Evidence-Grounded Infographics
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arXiv AI
Sep 15
Externalizing Requirement-to-Repair Artifacts as Observable Traces for LLM-Based Program Repair
The paper introduces THEMIS, a stage-aware repair workflow that externalizes the requirement-to-repair process by generating semantic interpretations, a runtime requirement-code graph, graph-derived developer guidance, retained repair rationale and patches, and post-edit audit records. A retrospective audit of 300 SWE-bench Lite cases shows that these artifacts enable cross-stage inspection, with a complete developer rationale available for 288 cases and 214 cases retaining a full audited field set. The retained records also allow systematic measurement of cross-stage correspondence, revealing high recurrence of target symbols across rationales and patches, and a preliminary improvement in resolving cases compared to a direct same-input condition.
arXiv AI
Jul 22
Vector-Bench: Can Models Surgically Edit SVG Code?
arXiv:2607. 19056v1 Announce Type: new Abstract: Instruction-based vector editing requires two capabilities: making a requested change and leaving everything else alone.
arXiv AI
3d ago
ChartRevise: A Dataset and Evaluation Protocol for Exact Chart Editing via Code
ChartRevise is a new dataset and evaluation protocol designed for exact chart editing via code. It contains 92,438 records covering 344 edit types across 20 chart types and three plotting libraries, built using the grammar of graphics and source‑program checks to ensure applicability. The protocol measures atomic requirement completion, detects gratuitous changes and missed coupled updates, and combines these with execution and rendering success to determine exact‑edit success.
arXiv Computation and Language
Sep 1
Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence
The paper surveys Multimodal Code Intelligence, focusing on tasks where code is generated, edited, refined, or reasoned about under visually grounded inputs such as screenshots, charts, and videos. It categorizes the field by the role of code—rendered artifact, editable structure, intermediate reasoning trace, or executable tool interface—and organizes benchmarks into four domains: Graphical User Interface, Scientific Visualization, Structured Graphics, and Frontier Tasks and Frameworks. The authors argue that reliable evaluation must include evidence of semantics and interaction beyond visual fidelity, and propose four verification-centered research directions to advance the field toward evidence-grounded executable systems.
arXiv AI
Jul 3
ContraFix: Skill-Enhanced Contrastive Runtime Analysis for Vulnerability Repair
arXiv:2605. 17450v2 Announce Type: replace-cross Abstract: As software systems grow increasingly complex, automated vulnerability repair (AVR) remains difficult because the materials available to a repair system are usually failure artifacts rather than repair guidance.
arXiv Computer Vision
Sep 4
VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement
VeriPhy is an auditable physical‑verification system that transforms a text prompt into typed physical obligations and a statically validated execution plan before any video frames are generated. During execution, it gates calls to frozen low‑level experts (segmentation, tracking, counting, depth, OCR, audio‑event detection, etc.) and records provenance‑carrying evidence for each action. The system maps these records to a three‑valued state—supported, contradicted, or unknown—providing traceable verdicts that can be used to refine generation models.