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Colocated with the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2025)
Recent advances in Natural Language Processing, and the emergence of pretrained Large Language Models (LLM) specifically, have led to significant breakthroughs in language understanding, generation, and interaction, leading to increasing usage of the models in real-life tasks. However, these advancements come with risks, including potential breaches of privacy, the propagation of bias, copyright violation, and vulnerabilities to adversarial manipulation. The demand for trustworthy NLP solutions is pressing as the public, policymakers, and organizations seek assurances that NLP systems protect data confidentiality, operate fairly, and adhere to ethical principles.
This year, we are excited to host our TrustNLP workshop at NAACL 2025, aimed at fostering discussions on these pressing challenges and driving the development of solutions that prioritize trustworthiness in NLP technologies. The workshop aspires to bring together researchers from various fields to engage in meaningful dialogue on key topics such as fairness and bias mitigation, transparency and explainability, privacy-preserving NLP methods, and the ethical deployment of AI systems. By providing a platform for sharing innovative research and practical insights, this workshop seeks to bridge the gaps between these interconnected objectives and establish a foundation for a more comprehensive and holistic approach to trustworthy NLP.
We invite papers which focus on different aspects of safe and trustworthy language modeling. Topics of interest include (but are not limited to):
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 submissions go through the OpenReview. To submit, use submission link.
Submitted manuscripts must be 8 pages long for full papers and 4 pages long for short papers. Please follow NAACL 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.
If your paper has been reviewed by ACL, EMNLP, EACL, or ARR and the average rating is higher than 2.5 (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.
NAACL 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. Papers accepted to the Findings of NAACL 2025 may also submit non-archival to the workshop, link TBD.
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 ACL anonymity policy. However, submissions must still remain fully anonymized.
Organizers
Program Committee
If you are interested in reviewing submissions, please fill out this form.
Please contact us at trustnlp24naaclworkshop@googlegroups.com.