TrustNLP: Seventh Workshop on Trustworthy Natural Language Processing

Topics

We invite papers that focus on different aspects of safe and trustworthy language modeling. Topics of interest include (but are not limited to):

• Privacy‑Preserving Model Training
• Unlearning and Model Editing
• Fairness and Bias: Evaluation and Treatments
• Model Explainability and Interpretability
• Culturally‑Aware and Inclusive LLMs
• Accountability, Safety, and Robustness
• Red‑teaming, backdoor or adversarial attacks and defenses for LLM safety
• Ethics, Social responsibility, and Dual‑use
• Causal Inference and Fair ML
• Secure, Faithful, Safe, and Trustworthy Data/Language Generation
• Hallucination and Unqualified Suggestion
• Toxic Language Detection and Mitigation
• Industry applications of Trustworthy NLP

We welcome contributions that also draw upon interdisciplinary knowledge to advance Trustworthy NLP. This may include working with, synthesizing, or incorporating knowledge across expertise, sociopolitical systems, cultures, or norms.

Important Dates

• November 21, 2026: First call for workshop papers
• January 5, 2027: Workshop Paper Due Date (Direct Submission via OpenReview)
• February 6, 2027: Notification of acceptance
• March 5, 2027: Camera-ready papers due
• May 2027: Workshop date (co-located with COLING 2027, May 9-14, 2027, Macau, China)

Dates follow the COLING 2027 workshop timeline and are tentative.

Submission Information

All submissions undergo double‑blind peer review (with author names and affiliations removed) by the program committee, and they will be assessed based on their relevance to the workshop themes.

All standard submissions go through the OpenReview platform. The submission link for TrustNLP 2027 will be announced soon.

Submitted manuscripts must be 8 pages long for full papers and 4 pages long for short papers. Please follow COLING 2027 submission policies. Both full and short papers can have unlimited pages for references and appendices. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper.

Template files can be found here.

We also ask authors to include a limitation section and broader impact statement, following guidelines from the main conference.

Fast‑Track Submission

If your paper has been reviewed by ACL, EMNLP, EACL, or ARR and the average rating is higher than 2.75 (either average soundness or excitement score), the paper is qualified to be submitted on the fast track. In the appendix, please include the reviews and a short statement discussing what parts of the paper have been revised.

Fast-Track submissions go through the OpenReview platform. The fast-track submission link for TrustNLP 2027 will be announced soon.

Non‑Archival Option

Workshops are traditionally archival. To allow dual submission of work, we are also including a non‑archival track. If accepted, these submissions will still participate and present their work in the workshop. A reference to the paper will be hosted on the workshop website (if desired), but will not be included in the official proceedings. Please submit through OpenReview but indicate that this is a cross‑submission at the bottom of the submission form. You can also skip this step and inform us of your non‑archival preference after the reviews.

Policies

Accepted and under‑review papers are allowed to be submitted to the workshop but will not be included in the proceedings.

No anonymity period will be required for papers submitted to the workshop, per the latest updates to the anonymity policy of the main conference. However, submissions must still remain fully anonymized.