trustnlpworkshop.github.io - TrustNLP

Example domain paragraphs

Colocated with the Annual Conference of the Association for Computational Linguistics (ACL 2023)

Recent advances in Natural Language Processing, and the emergence of pretrained Large Language Models (LLM) specifically, have made NLP systems omnipresent in various aspects of our everyday life. In addition to traditional examples such as personal voice assistants, recommender systems, etc, more recent developments include content-generation models such as ChatGPT, text-to-image models (Dall-E), and so on. While these emergent technologies have an unquestionable potential to power various innovative NLP a

We invite papers which focus on developing models that are “explainable, fair, privacy-preserving, causal, and robust” (Trustworthy ML Initiative). Topics of interest include (but are not limited to):

Links to trustnlpworkshop.github.io (9)