GLOW 2026

Deadlines
AI/CORE Unranked

GLOW 2026

Fourth International Workshop on Generalizing from Limited Resources in the Open World Workshop at International Joint Conference on Artificial Intelligence (IJCAI) 2026

Aug 15 2026Official workshop site Site reachable

The GLOW 2026 workshop, held in conjunction with IJCAI 2026, focuses on advancing AI models' ability to generalize from limited resources in open-world settings. It brings together researchers to explore data-efficient and model-efficient methods—including few-/zero-shot learning, domain adaptation, model compression, and generative AI under constraints—to bridge the gap between human-like adaptability and current AI limitations.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

June 10, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

June 10, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Long Paper

Papers are limited to 7 pages excluding references.

Extended Abstract

Papers are limited to 4 pages including references.

Research areas in scope

01

Generalization from Limited Resources

New methods for in-context learningApplications of large AI models in vertical domainsNew methods for AI alignmentNew methods and benchmarks of open set/world learning problemNew methods for few-/zero-shot learningNew methods for domain-adaptation methodsNew methods for training generative models under limited dataBenchmark for evaluating model generalizationUnderstanding the generalization vulnerabilities of deep learning systemsNetwork sparsity, quantization, distillation, etc.Neural architecture search (NAS)Efficient network architecture designEfficient methods for generative models like diffusion, large language modelsHardware implementation and on-device deploymentOn-device learningBrain-inspired artificial intelligence like spiking neural networks (SNN)Optimization on parallel and distributed trainingNew methods for roboticsNew method for embodied intelligence

Policies worth checking twice

  • Submissions must be anonymized.
  • Submissions must follow IJCAI 2026 author instructions.
  • Double-blind peer review policy is enforced.
  • All papers receive at least two reviews.
  • Accepted papers will be published in the Communications in Computer and Information Science series (indexed by EI Compendex).

Official sources

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

Last verified September 9, 2026