Call for Papers

LIGHT invites submissions on methods, systems, and applications for lightweight and trustworthy foundation models. We welcome extended abstracts, position papers, system demonstrations, industrial deployment reports, reproducibility contributions and benchmark contributions.

Topics of interest

Distillation of foundation-model capabilities into compact models
Small language models and compact multimodal systems
Trustworthiness-by-design through model compression
Neuro-symbolic extensions for compact foundation models
Explainability, reasoning and verification in small models
Robustness and safety of compressed AI systems

Additional directions

Runtime guarantees for deployable AI
Efficient adaptation beyond fine-tuning
Edge and resource-constrained deployment
Sustainable AI through compact architectures
Benchmarks and evaluation methodologies
Industrial deployment of compact and trustworthy AI

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All submissions will be handled through OpenReview.

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Submission Format

NeurIPS 2026 Template

All submissions must be prepared using the official NeurIPS 2026 author kit. Please use the official LaTeX or Word template available at the provided link.

Download NeurIPS 2026 Template

Publication Policy

Non-Archival Workshop

LIGHT is a non-archival workshop. Accepted submissions will not be included in archival proceedings, allowing authors to further develop and submit their work to future conferences and journals.

We are currently working toward a Special Issue of IEEE Transactions on Industrial Informatics. Subject to final approval, authors of a selection of outstanding papers will be invited to submit a substantially extended version of their work. Invited manuscripts will undergo the journal's standard peer-review process.