Full papers
Original research contributions with substantial technical content and evaluation.
Machine Learning/CORE Unranked
BiAlign Workshop 2026
NeurIPS 2026 Workshop on Dynamic Alignment in Human-AI Coupled Systems
The BiAlign Workshop 2026 is a venue for researchers to present and discuss work on bilingual and multilingual alignment in natural language processing, focusing on methods for aligning linguistic structures across languages, including lexical, syntactic, and semantic alignment techniques.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Brief reports on preliminary results, work in progress, or system demonstrations.
Poster presentations
Opportunities to present ongoing or exploratory work in a poster format.
Research areas in scope
01
Topics
Lexical alignmentSyntactic alignmentSemantic alignmentCross-lingual transfer learningMultilingual representation learningAlignment evaluation methodsLow-resource language alignmentAlignment for machine translationAlignment in multilingual pretrainingAlignment of non-textual modalities (e.g., speech, vision)
Policies worth checking twice
- Submissions must be anonymized for blind review.
- Papers must not exceed 8 pages (including references) for full papers and 4 pages for short papers.
- Dual submission to other conferences or journals is not allowed during review.
- Author lists cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI tools in the submission.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026