Short Paper
Up to 4 pages with unlimited references and appendices; double-blind, non-archival; accepted papers receive poster presentations, with top-rated papers invited for oral or spotlight talks.
Machine Learning/CORE Unranked
FMSD @ ICML 2026
2nd ICML Workshop on Foundation Models for Structured Data
The FMSD @ ICML 2026 workshop focuses on foundation models for structured data, specifically tabular and time-series data, aiming to unify research communities around shared challenges in data curation, scaling, evaluation, and real-world deployment. It emphasizes multimodal approaches, synthetic data generation, benchmarks that mitigate contamination, and comparisons between purpose-built models and LLM/agent-based methods on predictive structured tasks.
Key deadlines
Verified September 9, 2026Full paper
May 9, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
May 9, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Building Foundation Models for (Multimodal) Structured Data
Zero-shot inference and in-context learning on unseen dataCross-modality transfer (e.g., tabular to time-series)Multimodal structured foundation models integrating text and imagesNovel architectures and scaling insights
02
Datasets and Synthetic Data Generation Methods
High-quality large-scale structured datasetsSynthetic data generation schemesTraining on limited public structured data
03
Benchmarks
Unified benchmarks for tabular and time-series tasksEvaluation of inference throughput, memory usage, scalabilityMeasuring and mitigating data contamination and memorization
04
Alternative Paradigms (LLMs and Agents)
LLM/agent-based evaluation on predictive tabular/time-series tasksCost/latency and numerical reliability reportingScaling trade-offs: sample/compute efficiency vs. general-purpose LLMsInterpretability, efficiency, and numerical reliability in structured settings
05
Applications of Foundation Models for Structured Data
Real-world applications in healthcare, finance, climate modeling, supply chainDomain adaptation, model reliability, data privacyDomain-specialized foundation modelsEthical considerations, fairness, and bias mitigation
Policies worth checking twice
- Submissions must be double-blind and properly anonymized.
- Papers exceeding the 4-page limit or lacking proper anonymization will be desk-rejected.
- No rebuttal phase; decisions are based solely on the submission and reviews.
- Dual submission to other venues is allowed if the work is reasonably extended.
- Papers previously published in journals or conferences must be substantially extended.
- Submission of papers accepted at the ICML 2026 main conference is not allowed.
- Author list cannot be changed after submission.
- Workshop is non-archival; accepted papers are available on OpenReview but have no formal proceedings.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026