379 citations · 514 across the 11 of their papers we have counts for
15 papers · 1 filter
Who is GPT-3? An Exploration of Personality, Values and Demographics
Marilù Miotto, Nicola Rossberg, Bennett Kleinberg
Language models such as GPT-3 have caused a furore in the research community. Some studies found that GPT-3 has some creative abilities and makes mistakes that are on par with huma…
Identifying Human Strategies for Generating Word-Level Adversarial Examples
Maximilian Mozes, Bennett Kleinberg, Lewis D. Griffin
Adversarial examples in NLP are receiving increasing research attention. One line of investigation is the generation of word-level adversarial examples against fine-tuned Transform…
Explainable Verbal Deception Detection using Transformers
Loukas Ilias, Felix Soldner, Bennett Kleinberg
People are regularly confronted with potentially deceptive statements (e.g., fake news, misleading product reviews, or lies about activities). Only few works on automated text-base…
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
Maximilian Mozes, Max Bartolo, Pontus Stenetorp +2
Research shows that natural language processing models are generally considered to be vulnerable to adversarial attacks; but recent work has drawn attention to the issue of validat…
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization
Maximilian Mozes, Bennett Kleinberg
For sensitive text data to be shared among NLP researchers and practitioners, shared documents need to comply with data protection and privacy laws. There is hence a growing intere…
The Grievance Dictionary: Understanding Threatening Language Use
Isabelle van der Vegt, Maximilian Mozes, Bennett Kleinberg +1
This paper introduces the Grievance Dictionary, a psycholinguistic dictionary which can be used to automatically understand language use in the context of grievance-fuelled violenc…