EurIPS'25 Workshop on
AI for Tabular Data
6 December 2025
@ EurIPS, Copenhagen
6 December 2025
@ EurIPS, Copenhagen
The use of artificial intelligence (AI) is well established for modalities such as text, images, audio, and even video. An important yet understudied modality is structured table-like data, such as relational tables or spreadsheet tables, which dominates in many high-value applications in organizations, from enterprises to healthcare. Recent works attempt to use this modality as part of, or in combination with, AI models. This workshop hosts a program focused on AI for tabular data with key topics such as representation learning, generative AI, and foundation models. The workshop also targets researchers focusing on the intersection of learning over structured data and information retrieval, for example, in retrieval augmented generation (RAG) and question answering (QA) systems.
The goal of the workshop is to connect researchers working on tabular data and surface novel research ideas and collaboration opportunities by bringing views from the NLP, ML, DB, and IR disciplines together.
Submission deadline: 22 October, 2025 (11:59, AoE) (extended from 21 October due to the OpenReview outage).
Notifications: 3rd November, 2025 (19:00pm, CET), due to the deadline extension.
Camera-ready deadline: 14 November, 2025 (11:59pm, CET)
Workshop: Saturday 6 December 2025
The distinguishing focus of this workshop is tabular data. Breakthroughs from the "tabular" community are poised to impact applications in enterprises, governmental organizations, healthcare, and beyond.
We invite submissions related to AI for tabular data and any of the subsequent topics.
Methods & Benchmarks: table representation learning; pretraining/foundation models for tables; generative modeling and synthesis; multimodal fusion (tables + text); evaluation protocols, datasets, and metrics.
Applications: table-centered question answering and retrieval; NL interfaces to databases (e.g. text-to-SQL); entity matching and record linkage; table understanding (type/semantic inference, schema matching); predictive machine learning (i.e. tabular classification and regression), time-series as tables, synthetic data generation, data wrangling, and new applications!
Systems & Data Management: table retrieval and indexing; open source software for the tabular community; scalable training/inference pipelines; cleaning, wrangling, and quality estimation; governance, privacy, and fairness for tabular ML.
Interdisciplinary Perspectives: bridges between ML, DB, IR, and NLP communities; lessons from practice and deployed systems; or any applications, methods, or benchmarks for multimodal data that joins tabular data with other modalities such as text, images, and code.
We invite submissions in the following form:
1) Short papers: up to 4 pages excluding references and appendices, in NeurIPS format. A small group of reviewers will perform a single-round assessment based on relevance, clarity, and potential for discussion. Submission template: NeurIPS paper template; the checklist is not required for the submission to the workshop.
2) Recent published work: full papers peer-reviewed and accepted in 2025 at a premier ML, DB, IR, or NLP venues. A paper previously peer-reviewed and accepted at a workshop should be submitted as a short paper. Submission goes through a link to the paper, plus a brief statement of relevance for our workshop.
This workshop is double-blind and non-archival. Submissions are managed through OpenReview. All accepted papers will be presented as posters, and a few selected ones will be presented as spotlight talks.
Camera-ready instructions: a limitations and/or acknowledgement section does not fall into the 4-page limit. For the reference of the workshop in the camera-ready version, please use: AI for Tabular Data workshop at EurIPS 2025.
Schedule
The workshop will start at 9:00 am and last until 5:30 pm. Activities include:
Invited talks
Spotlight talks
Poster sessions (likely accompanied with a reception🍸)
(Detailed schedule will follow.)
The other speakers will be announced soon!
CWI
University of Freiburg
MIT
We're grateful for the reviews conducted by the following researchers:
Magnus Bühler
Andrey Sidorenko
Mikkel Werling
Frederik Hoppe
Cornelius Wolff
Florian D. van Leeuwen
Suraj Neelakantan
George Yakushev
Erkan Karabulut
Allaa Boutaleb
Myung Jun Kim
Sara Pyykölä
Asher Labovich
Parker Glenn
Mustafa Tajjar
Jacob Feitelberg
Tianyi Yao
Jan-Micha Bodensohn
Liane Vogel
Olga Ovcharenko
Yannick Brunink
Conor Hassan
Amalia Stuger
Maximilian Schambach
Gerardo Vitagliano
Félix Lefebvre
Malina Molnar
Zeyu Zhang
Shi Bin Hoo
Günther Schindler
Anshul Gupta
Marco Spinaci
Daniel Gomm
Daniel Beaglehole
Elias Dubbeldam
Susanna Di Vita
Giulia Perciballi
Junwei Ma
Tom Zehle
Anurag Garg
Aécio Santos
Amir Rezaei Balef
Gyu-Il Kim
Rohith Saai Pemmasani Prabakaran
Vadim Borisov
Tianji Cong
Chorok Lee
Alexander Pfefferle
Simone Papicchio
Amine Mhedhbi