mlsanityData to 14 Oct 2026

ICDAR2026 Competition on Multimodal Reasoning over Documents in Multiple Domains

arXiv 2609.25055 ↗First posted 8 Sep 2026cs.CLcited by 1

On the map: LLM reasoning → Multimodal reasoning

Abstract (arXiv)

In this report we present results of the ICDAR2026 Competition on Multimodal Reasoning over Documents in Multiple Domains. This competition aimed to advance research in document understanding through the task of Visual Question Answering (VQA). Building upon previous DocVQA benchmarks, this competition introduces challenging reasoning questions over a diverse collection of documents spanning eight domains, including business reports, scientific papers, slides, posters, maps, comics, infographics, and engineering drawings. The competition concluded with 20 valid submissions from 8 teams spanning zero-shot VLMs, OCR and parser-augmented pipelines, agentic retrieval systems, multi-agent ensembles, and fine-tuned multimodal models. The results show that the strongest systems move beyond single-pass prompting and instead rely on structured evidence extraction, retrieval, verification, and orchestration across multiple components.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 5 of its 17 references that are in the map. First posted on arXiv 8 Sep 2026.

Builds on

5 of 17 references.

References · 5

  1. 2025Qwen3-VL Technical Reportcited by 2,793
  2. 2019Scene Text Visual Question Answeringcited by 331
  3. 2025Can Large Vision Language Models Read Maps Like a Human?cited by 30
  4. 2025How to Correctly Report LLM-as-a-Judge Evaluationscited by 30
  5. 2025MapTrace: Scalable Data Generation for Route Tracing on Mapscited by 3

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Citing papers per year: 2026: 1.

1 paper.

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  1. 2025Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
  2. 2026Doc-V*:Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA
  3. 2026ARK: A Dual-Axis Multimodal Retrieval Benchmark along Reasoning and Knowledge
  4. 2025Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question Answering
  5. 2026CrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented Generation
  6. 2026TestHallVQA: Exploring LVLMs' Document-Level Reasoning under Redundant Contexts from Scientific Exams
  7. 2024Knowledge-Aware Reasoning over Multimodal Semi-structured Tables
  8. 2025MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding