GFM @ ICML 2026

Deadlines
Machine Learning/CORE Unranked

GFM @ ICML 2026

Workshop on Graph Foundation Models: A New Era for Graph Machine Learning

Jul 10 2026Seoul, South KoreaOfficial workshop site Site reachable

The GFM @ ICML 2026 workshop focuses on generative foundation models, bringing together researchers to explore advancements in foundational models for generation across domains such as text, images, audio, and multimodal data. It aims to foster discussion on scalability, alignment, evaluation, and ethical implications of generative models within the broader ICML community.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full 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.

Full papers

Original research contributions with substantial technical depth and experimental validation.

Short papers

Concise presentations of novel ideas, preliminary results, or position statements.

Journal track

Extended versions of previously published journal articles suitable for presentation at the workshop.

Research areas in scope

01

Topics

Scalability and efficiency of generative foundation modelsAlignment and control of generative modelsEvaluation metrics and benchmarks for generative modelsMultimodal generative modelsData curation and synthetic data generationEthics, safety, and societal impact of generative modelsFoundation models for scientific discoveryCompression and distillation of generative modelsInterpretability and reasoning in generative modelsGenerative models for robotics and embodied AI

Policies worth checking twice

  • Submissions must be anonymized for double-blind review.
  • Full papers are limited to 8 pages, short papers to 4 pages, excluding references.
  • Dual submission to other conferences or journals is not permitted during review.
  • Author lists and affiliations cannot be changed after the submission deadline.
  • All submissions must include a statement on the use of AI tools in the preparation of the paper.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026