# IChart2Code: Benchmarking Multimodal Large Language Models for Interactive Chart Code Generation

> Benchmarks reconstruction of interactive charts from a reference screenshot, local data and specified actions. Its TRAIL framework uses Developer and Inspector agents with browser interaction traces to diagnose errors and revise the HTML/JavaScript implementation.

- Authors: Xu Zhang; Hongzhang Zheng; Zhili Huang; Yaoyi Wang; Ling Xu; Sheng Huang
- Venue: arXiv
- Status: Preprint
- Publication / posting date: September 26, 2026
- Date source: First arXiv v1 submission; no formal venue publication was verified.
- First arXiv submission: September 26, 2026
- arXiv: 2609.32413
- Reviewed arXiv version: v1
- DOI: 10.48550/arxiv.2609.32413
- Sources reviewed: 2026-10-20
- Added to the catalog: 2026-10-20
- Original paper: <https://arxiv.org/abs/2609.32413>
- PDF: <https://arxiv.org/pdf/2609.32413v1>
- BibTeX: <https://awesomerea.org/papers/citations/paper-ichart2code.bib>
- Catalog page: <https://awesomerea.org/papers/paper-ichart2code/>
- Record JSON: <https://awesomerea.org/papers/paper-ichart2code/record.json>
- Chinese version: [简体中文](https://awesomerea.org/zh/papers/paper-ichart2code/index.md)

## Scope and limitations

Covers 377 single-file HTML/JavaScript tasks with supplied data and explicit interaction requirements. Four models are evaluated with at most one repair round. Failing the Executability gate gives zero on scored dimensions; other rubric judgments use an MLLM, with human validation on 200 Direct outputs from 100 tasks and two models. Finite interactions and judge agreement do not establish complete application equivalence or recovery of hidden data and unspecified behavior.

## Why it fits this collection

Adds an execution-aware benchmark for reproducing visual charts and their specified interactive state changes.

## Publication and review notes

The six-author v1 identity matches arXiv and DataCite, which registered the arXiv DOI on 2026-09-29. The article uses the arXiv non-exclusive license. No author-linked public implementation, dataset release or corresponding license was verified in the reviewed full text and focused search.

## Primary sources

1. <https://arxiv.org/abs/2609.32413>
2. <https://arxiv.org/html/2609.32413v1>
3. <https://api.datacite.org/dois/10.48550/arxiv.2609.32413>

## About this entry

Reviewed against the paper and its primary sources. Cite the original authors using the linked paper or BibTeX.
Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.