Long Papers
Up to 8 pages (excluding references).
NLP/CORE Unranked
GeBNLP 2026
7th Workshop on Gender Bias in Natural Language Processing @AACL-IJCNLP 2026
Nov 09 2026Official workshop site Site reachable
The 7th Workshop on Gender Bias in Natural Language Processing (GeBNLP 2026) is a leading venue for studying, evaluating, and mitigating gender bias in NLP, co-located with AACL 2026 and held fully remotely. It focuses on addressing persistent stereotypes in large language models and intersecting demographic factors like race, nationality, and ability, promoting multidisciplinary research grounded in ethical and social realities.
Key deadlines
Verified September 9, 2026Full paper
September 8, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
September 8, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Up to 4 pages (excluding references).
Non-Archival Submissions
Authors may opt for non-archival submission, allowing work of standard conference quality to be presented without being published in the official proceedings.
Research areas in scope
01
Topics of Interest
Measurement and Evaluation: New metrics and datasets for quantifying bias in LLMs, machine translation, and multimodal systems.Mitigation Strategies: Technical approaches to debiasing (e.g., fine-tuning, adapter-based methods, or prompting strategies).Multilingual and Cross-Cultural Perspectives: Bias in low-resource languages or non-Western cultural contexts.Intersectionality: Research exploring how gender bias intersects with race, disability, age, or nationality.Ethical and Legal Frameworks: Policy implications and the human-in-the-loop role in auditing AI systems.
Policies worth checking twice
- Blind submission is required.
- Paper submissions must use the official ACL style template; no modifications or other conference templates are allowed.
- Submissions that misuse AI, include hallucinated citations, present thinly sliced contributions, or are entirely AI-generated may be desk rejected.
- AI-assisted writing is permitted, provided authors remain responsible for the work.
- We endorse the EMNLP 2026 Paper Integrity Policy.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026