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ReFigBench: Benchmarking Scientific Figure Reconstruction as Editable PowerPoint Artifacts

Paper recorded by Signals 4 on 2026-09-16 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-16 on arXiv · recorded by Signals 4 on 2026-09-17

Category: cs.CL · 自然语言处理 · first seen 2026-09-17

Abstract

Multimodal coding agents are expected to turn visual inputs into usable artifacts, and they act through a harness, the layer of tools, context management, and execution environment around the model. Existing evaluations often isolate short tool calls, API traces, or screenshot resemblance, and a low score under these proxies cannot say whether the model saw poorly, planned poorly, or was failed by

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#21 most recent of 186 cs.CL papers we have recorded · ↑ newer: EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Ration · ↓ older: Using OCR Heads to Verbalize Image Semantics
Cite this page: ReFigBench: Benchmarking Scientific Figure Reconstruction as Editable PowerPoint Artifacts: the #21 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/refigbench-benchmarking-scientific-figure-reconstruction-as-editable-powerpoint-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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