| Challenges and applications of large language models J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy arXiv preprint arXiv:2307.10169, 2023 | 406 | 2023 |
| Measuring emotions in the covid-19 real world worry dataset B Kleinberg, I van der Vegt, M Mozes NLP COVID-19 Workshop, ACL 2020, 2020 | 224* | 2020 |
| Frequency-guided word substitutions for detecting textual adversarial examples M Mozes, P Stenetorp, B Kleinberg, LD Griffin EACL 2021, 2020 | 95 | 2020 |
| Use of llms for illicit purposes: Threats, prevention measures, and vulnerabilities M Mozes, X He, B Kleinberg, LD Griffin arXiv preprint arXiv:2308.12833, 2023 | 65 | 2023 |
| Using named entities for computer‐automated verbal deception detection B Kleinberg, M Mozes, A Arntz, B Verschuere Journal of forensic sciences 63 (3), 714-723, 2018 | 60 | 2018 |
| The grievance dictionary: Understanding threatening language use I van der Vegt, M Mozes, B Kleinberg, P Gill Behavior research methods, 1-15, 2021 | 45 | 2021 |
| Online influence, offline violence: language use on YouTube surrounding the ‘Unite the Right’rally I Van der Vegt, M Mozes, P Gill, B Kleinberg Journal of Computational Social Science 4, 333-354, 2021 | 36 | 2021 |
| Identifying the sentiment styles of YouTube's vloggers B Kleinberg, M Mozes, I van der Vegt EMNLP 2018, 2018 | 26 | 2018 |
| No intruder, no validity: Evaluation criteria for privacy-preserving text anonymization M Mozes, B Kleinberg arXiv preprint arXiv:2103.09263, 2021 | 23 | 2021 |
| Susceptibility to influence of large language models LD Griffin, B Kleinberg, M Mozes, KT Mai, M Vau, M Caldwell, ... arXiv preprint arXiv:2303.06074, 2023 | 19 | 2023 |
| Netanos-named entity-based text anonymization for open science B Kleinberg, M Mozes, Y van der Toolen OSF Preprints, 2017 | 19 | 2017 |
| Large language models respond to influence like humans L Griffin, B Kleinberg, M Mozes, K Mai, MDM Vau, M Caldwell, ... Proceedings of the First Workshop on Social Influence in Conversations …, 2023 | 14 | 2023 |
| Challenges and applications of large language models (2023) J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy arXiv preprint arXiv:2307.10169 4, 2024 | 13 | 2024 |
| Challenges and applications of large language models. arXiv 2023 J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy arXiv preprint arXiv:2307.10169 10, 0 | 13 | |
| Challenges and applications of large language models. arXiv J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy Preprint posted online 19, 2023 | 12 | 2023 |
| Web-based text anonymization with Node.js: Introducing NETANOS (Named entity-based Text Anonymization for Open Science) MM Bennett Kleinberg The Journal of Open Source Software 2 (14), 2017 | 12 | 2017 |
| A repeated-measures study on emotional responses after a year in the pandemic M Mozes, I van der Vegt, B Kleinberg Scientific reports 11 (1), 23114, 2021 | 11 | 2021 |
| Uphill from here: Sentiment patterns in videos from left-and right-wingYouTube news channels F Soldner, JCT Ho, M Makhortykh, I Van der Vegt, M Mozes, B Kleinberg Workshop on Natural Language Processing and Computational Social Science 3 …, 2019 | 11 | 2019 |
| Contrasting human-and machine-generated word-level adversarial examples for text classification M Mozes, M Bartolo, P Stenetorp, B Kleinberg, LD Griffin EMNLP 2021, 2021 | 10 | 2021 |
| Towards agile text classifiers for everyone M Mozes, J Hoffmann, K Tomanek, M Kouate, N Thain, A Yuan, ... arXiv preprint arXiv:2302.06541, 2023 | 8 | 2023 |
Bennett KleinbergAssociate ProfessorVerified email at tilburguniversity.edu
