SURGeLLM 2026 Structured Understanding, Retrieval, and Generation in the LLM Era
SURGeLLM is a workshop at ACL 2026 bringing together NLP, IR, data management, and visualization researchers to advance structure-aware understanding, retrieval, generation, and evaluation.
Topics
- 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).
- Structure-aware retrieval (tables, cells/rows, chart elements, maps, workflows, and code fragments).
- Structured generation (text → tables/charts/figures/code) with faithfulness, controllability, and robust evaluation.
- Agentic systems for structured data understanding and analysis (time series, graphs, tabular, etc).
- Data-centric AI for LLMs on structured data (representation learning, augmentation, robustness, and domain adaptation).
- Benchmarking and evaluation (scalability, throughput, contamination, reproducibility, and human-centered assessment).
- Applications and governance for LLMs over structured data (DataOps, privacy, fairness, and reliability).
Program Sneak Peek
View Full Program08:40–12:30
Morning Program
Invited talks from Preslav Nakov, Dan Roth, and Hamid Palangi, plus Poster Session I and Oral Session I.
14:00–16:00
Afternoon Program
Oral Session II, an invited talk from Lisa Amini, and Poster Session II.
16:00–17:30
Panel & Closing
Industry panel discussion, an invited talk from Heng Ji, and Closing Remarks and Awards.
Awards at Closing Remarks: The Best Paper Award and two Best Student Paper Awards will be announced from 17:15–17:30.
Workshop Hub
Accepted Papers
Accepted papers are posted with proceedings and non-archival categories.
- Proceedings/Archival and Non-Archival accepted work.
- Poster and Oral presentation labels are included.
Speakers & Panelists
Meet the invited speakers and confirmed industry panelists joining SURGeLLM at ACL 2026.
- Five invited speakers across the morning and afternoon program.
- Five panelists representing industry research and applied AI.
Venue
Join us on July 3, 2026 in Room Harbor D at ACL 2026.
- Full-day workshop in San Diego, California.
- All schedule times are local to ACL 2026.
About
SURGeLLM brings together researchers and practitioners across NLP, information retrieval, data management, and visualization to make structured artifacts (tables, charts, maps, flowcharts, and diagrams) first-class citizens in modern LLM systems — across understanding, retrieval, generation, and evaluation.
- Structured understanding: robust reasoning and attribution over tables, databases, and other structured artifacts.
- Structured retrieval: structure-aware retrieval for tables/cells, charts, maps, workflows, and code.
- Structured generation: text → SQL/table/chart/code with faithfulness, controllability, and reliable evaluation.
- LLMs + structured data: data-centric methods, benchmarks, and real-world deployments with governance.
- Community: invited talks, oral sessions, posters, networking, a panel, and awards.
Accepted papers are posted, the full program is live, and the Best Paper Award and two Best Student Paper Awards will be announced during Closing Remarks.
Questions: surgellm@googlegroups.com.