NLP/CORE Unranked

Multi-LLL 2026

AACL-IJCNLP 2026 Workshop Multi-LLL

1794153600000Hengqin, ChinaOfficial workshop site Site reachable

The Multi-LLL 2026 workshop focuses on multi-modal and multi-lingual language learning, bringing together researchers from NLP, computer vision, speech, education, and AI to advance inclusive technologies for language education. It emphasizes innovation in learning systems for English, Chinese, and low-resource languages, with a shared task on handwritten Chinese error correction and a commitment to ethical AI practices and linguistic diversity.

Official CFP Back to deadlines Verified September 9, 2026

Paper fit

Contribution paths

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

Workshop Paper

Original research submissions on multi-modal and multilingual language learning, including research ideas, empirical studies, deployed systems, benchmark papers, review papers, best-practice papers, and lessons learned. Must be double-blind, up to 8 pages, include limitations and AI declaration sections.

ARR Resubmission

Resubmissions of papers previously reviewed through ACL Rolling Review (ARR) with a meta-review, eligible if relevant to the workshop topic.

Accepted/Published Paper Track

Non-archival presentations of papers already accepted or published in other venues within the past year; must include venue details and link to archived version.

Shared Task System Paper

System description papers from participants of the VisCGEC-v2.0 shared task on handwritten Chinese error correction; accepted papers will be included in the proceedings.

Research areas in scope

Research Areas

Multi-modal and multi-lingual language learning systemsFoundation models for educationAdaptive tools for diverse learnersBenchmarks, diagnostic methods, and evaluation frameworksIntelligent tutoring, feedback generation, writing support, and grammar correctionEmpirical studies on English, Chinese, low-resource languages, CFL learning, accessibility, and cross-linguistic transfer

Policies worth checking twice

Submissions must be double-blind.
Dual submissions are not allowed.
Submissions are editable, including authorship, until the deadline; no authorship changes are allowed after submission.
Papers must include a mandatory 'Limitations of the Work' section after conclusions and before references.
Papers must include a mandatory 'Declaration on Generative AI' section.
Authors may optionally include an ethical considerations section.
Submissions must use the official ACL style template; deviations will be desk-rejected.
Submissions must be a single PDF file with reasonable references and appendices; supplementary materials are optional and not required to be reviewed.

Official sources

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

Official workshop site

Last verified September 9, 2026