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PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis

Paper recorded by Signals 4 on 2026-10-14 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-14 on arXiv · recorded by Signals 4 on 2026-10-15

Category: cs.AI · 人工智能 · first seen 2026-10-15

Abstract

Multimodal code intelligence connects the symbolic world of programs with the visual world their execution creates. Interest in this capability is burgeoning, as models are increasingly asked to produce charts, webpages, animations, and semi-structured documents. Recently, proprietary models have pushed far ahead, producing interactive artifacts even from a text description or a screenshot alone.

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#315 most recent of 960 cs.AI papers we have recorded · ↑ newer: Detection of Potato Plant Leaf Diseases using Convolutional Neural Net · ↓ older: ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acqui
Cite this page: PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis: the #315 most recent of 960 cs.AI papers we have recorded (as of 2026-10-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/prismacoder-pushing-the-boundaries-of-open-multimodal-code-intelligence-through-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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