Most tasks in NLP require labeled data. In this recently published paper (at the 17th Linguistic Annotation Workshop held in conjunction with ACL 2023), we investigate how removing personally identifiable information as well as applying differential privacy rewriting enables using crowdsourcing for text with privacy-relevant information.
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On LLMs, Leaderboards, Long Contexts and their Limitations
In this post, our CTO Benjamin Schiller discusses some surprising findings from our latest experiments on argument mining and semantic search. This post adds to
