Submission deadline extension: until March 19.
Final Call for Papers: PrivateNLP workshop co-located with ACL 2026
See https://sites.google.com/view/privatenlp2026 for OpenReview submission link and details
PrivateNLP@ACL 2026
Overview Privacy-preserving data analysis has become essential in the age of Large Language Models (LLMs) where access to vast amounts of data can provide gains over tuned algorithms. A large proportion of user-contributed data comes from natural language e.g., text transcriptions from voice