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2020 – today
- 2024
[c6]Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu:
Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge. ACL (Findings) 2024: 15059-15075- [i17]Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu:
Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge. CoRR abs/2402.19334 (2024) - 2023
- [c5]Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon:
Towards Agile Text Classifiers for Everyone. EMNLP (Findings) 2023: 400-414 - [e2]Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita:
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-77-7 [contents] - [i16]Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon:
Towards Agile Text Classifiers for Everyone. CoRR abs/2302.06541 (2023) - [i15]Maximilian Mozes, Tolga Bolukbasi, Ann Yuan, Frederick Liu, Nithum Thain, Lucas Dixon:
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning. CoRR abs/2302.06598 (2023) - [i14]Lewis D. Griffin, Bennett Kleinberg, Maximilian Mozes, Kimberly T. Mai, Maria Vau, Matthew Caldwell, Augustine Marvor-Parker:
Susceptibility to Influence of Large Language Models. CoRR abs/2303.06074 (2023) - [i13]Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy:
Challenges and Applications of Large Language Models. CoRR abs/2307.10169 (2023) - [i12]Maximilian Mozes, Xuanli He, Bennett Kleinberg, Lewis D. Griffin:
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities. CoRR abs/2308.12833 (2023) - 2022
- [c4]Maximilian Mozes, Bennett Kleinberg, Lewis D. Griffin:
Identifying Human Strategies for Generating Word-Level Adversarial Examples. EMNLP (Findings) 2022: 6118-6126 - [e1]Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - [i11]Bennett Kleinberg, Toby Davies
, Maximilian Mozes:
Textwash - automated open-source text anonymisation. CoRR abs/2208.13081 (2022) - [i10]Maximilian Mozes, Bennett Kleinberg, Lewis D. Griffin:
Identifying Human Strategies for Generating Word-Level Adversarial Examples. CoRR abs/2210.11598 (2022) - 2021
- [j3]Isabelle van der Vegt, Maximilian Mozes, Paul Gill, Bennett Kleinberg:
Online influence, offline violence: language use on YouTube surrounding the 'Unite the Right' rally. J. Comput. Soc. Sci. 4(1): 333-354 (2021) - [j2]Isabelle van der Vegt, Maximilian Mozes, Paul Gill, Bennett Kleinberg:
Correction to: Online influence, offline violence: language use on YouTube surrounding the 'Unite the Right' rally. J. Comput. Soc. Sci. 4(2): 921-923 (2021) - [c3]Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. EACL 2021: 171-186 - [c2]Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. EMNLP (1) 2021: 8258-8270 - [i9]Maximilian Mozes, Bennett Kleinberg:
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization. CoRR abs/2103.09263 (2021) - [i8]Maximilian Mozes, Isabelle van der Vegt, Bennett Kleinberg:
Worry, coping and resignation - A repeated-measures study on emotional responses after a year in the pandemic. CoRR abs/2107.03466 (2021) - [i7]Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. CoRR abs/2109.04385 (2021) - [i6]Maximilian Mozes, Martin Schmitt, Vladimir Golkov, Hinrich Schütze, Daniel Cremers:
Scene Graph Generation for Better Image Captioning? CoRR abs/2109.11398 (2021) - 2020
- [i5]Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes:
Measuring Emotions in the COVID-19 Real World Worry Dataset. CoRR abs/2004.04225 (2020) - [i4]Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. CoRR abs/2004.05887 (2020) - [i3]Isabelle van der Vegt, Maximilian Mozes, Bennett Kleinberg, Paul Gill:
The Grievance Dictionary: Understanding Threatening Language Use. CoRR abs/2009.04798 (2020)
2010 – 2019
- 2019
- [i2]Isabelle van der Vegt, Maximilian Mozes, Paul Gill, Bennett Kleinberg:
Online influence, offline violence: Linguistic responses to the 'Unite the Right' rally. CoRR abs/1908.11599 (2019) - 2018
- [c1]Bennett Kleinberg, Maximilian Mozes, Isabelle van der Vegt:
Identifying the narrative styles of YouTube's vloggers. EMNLP 2018: 3581-3590 - [i1]Bennett Kleinberg, Maximilian Mozes, Isabelle van der Vegt:
Identifying the sentiment styles of YouTube's vloggers. CoRR abs/1808.09722 (2018) - 2017
- [j1]Bennett Kleinberg, Maximilian Mozes:
Web-based text anonymization with Node.js: Introducing NETANOS (Named entity-based Text Anonymization for Open Science). J. Open Source Softw. 2(14): 293 (2017)
Coauthor Index
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last updated on 2024-09-26 00:51 CEST by the dblp team
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