Main Track - Archival
New research submissions that may be published in the ACL Anthology as part of the workshop proceedings; authors must commit to publishing in exactly one venue if accepted.
NLP/CORE Unranked
SURGeLLM ARR Commitment 2026
SURGeLLM: Structured Understanding, Retrieval, and Generation in LLMs era (ARR Commitment)
SURGeLLM 2026 is a workshop at ACL 2026 focused on advancing structured understanding, retrieval, generation, and evaluation in the era of large language models, with tables, charts, maps, flowcharts, and diagrams treated as first-class citizens. It brings together researchers from NLP, information retrieval, data management, and visualization to address challenges in structure-aware AI systems.
Key deadlines
Verified September 9, 2026Full paper
March 26, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
March 26, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Main Track - Non-Archival
New research submissions intended for presentation only, without archival publication in the ACL Anthology.
Presentation-only Track
Recently accepted or published work (e.g., from ACL Findings) presented at the workshop without archival publication.
Research areas in scope
01
Structured Understanding
Methods for tabular understanding and question answering (multi-table reasoning, multi-hop inference, and multimodal integration)Natural language interfaces to structured data (Text-to-SQL, semantic parsing, schema linking, and data discovery)Structured retrieval (tables, cells/rows, chart elements, maps, workflows, and code fragments)Data-centric AI for LLMs on structured data (representation learning, augmentation, robustness, and domain adaptation)Agentic systems for structured data understanding and analysis (time series, graphs, tabular, etc)
02
Structured Generation
Structured generation (text → tables/charts/figures/code) with faithfulness, controllability, and robust evaluation
03
Benchmarking and Evaluation
Benchmarking and evaluation (scalability, throughput, contamination, reproducibility, and human-centered assessment)
04
Applications and Governance
Applications and governance for LLMs over structured data (DataOps, privacy, fairness, and reliability)
Policies worth checking twice
- Submissions may be under review elsewhere at the time of submission.
- Archival submissions must present substantially new and original work and comply with ACL policy on overlap/self-plagiarism.
- Authors must indicate at submission time whether their paper is intended for archival publication or non-archival presentation.
- All submissions must follow ACL format (up to 8 pages for long papers, up to 4 pages for short papers, excluding references and appendices).
- Non-public resources (e.g., proprietary data) must be responsibly summarized and comply with ACL policies.
- Workshop follows ACL Anti-Harassment Policy and ACL Code of Ethics.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026