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Overview and Objective

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Submission Details

We welcome submissions of papers ranging from 4 to 8 pages as main content, excluding references and appendices. All submissions must be in PDF format and formatted according to the new XXX format published in ACL guidelines (e.g., using the ACL LaTeX template on Overleaf Here) and selecting the “XXX” sample. Following the ACL’26 conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. Submitted works will be assessed based on their novelty, technical quality, potential impact, and clarity of writing (and should be in English). For papers that primarily rely on empirical evaluations, the experimental settings and results should be clearly presented and repeatable. We encourage authors to make data and code available publicly when possible.

  • All submissions must be uploaded electronically through Openreview
  • Accepted papers will not appear in the ACL’26 proceedings and are thus non-archival.
  • Authors are allowed to submit works concurrently under review elsewhere or published.
  • Accepted papers will be posted on this workshop website.
  • Accepted submissions will be accompanied by a poster presentation with selected ones for oral presentations.
  • For questions regarding submissions, please contact us at:

    • Important Dates

    All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone:

  • Workshop paper submission: XXXX Xth, 2026
  • Workshop paper notification: XXXX Xth,2026
  • Camera Ready Submission: XXXX Xth,2026
  • Workshop date: July Xth, 2026
  • Poster Format and Instruction
  • Workshop paper website: Openreview

    • If you have any questions, please contact:

    Topics

  • Methods for tabular understanding and question answering, including multi-table reasoning, multi-hop inference, and integration with unstructured or multimodal data.
  • Techniques for generating structured outputs (tables, charts, figures, code) from natural language, with attention to schema intent.
  • Approaches to improve correctness, faithfulness, interpretability, and robustness in structured generation, including rubric-based evaluation.
  • Retrieval methods for structured content, enabling access to cells, rows, map regions, chart elements, and code fragments from natural language.
  • Synchronization of information across structures and modalities, such as cross-lingual tables, text–table–figure alignment, and temporal updates.
  • Evaluation frameworks for structure-aware reasoning, retrieval, and generation, combining automated metrics with human-centered assessment.
  • Applications of large language and vision language models in structure-aware workflows, particularly in agentic pipelines, DataOps, and system design with governance.