Maximilian Mozes

According to our database, Maximilian Mozes authored at least 26 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLMs can implicitly learn from mistakes in-context.

Lisa Alazraki, Maximilian Mozes, Jon Ander Campos, Yi Chern Tan, Marek Rei, Max Bartolo

CoRR, February, 2025

Reverse Engineering Human Preferences with Reinforcement Learning.

Lisa Alazraki, Yi Chern Tan, Jon Ander Campos, Maximilian Mozes, Marek Rei, Max Bartolo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

No Need for Explanations: LLMs can implicitly learn from mistakes in-context.

Lisa Alazraki, Maximilian Mozes, Jon Ander Campos, Yi Chern Tan, Marek Rei, Max Bartolo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwarak Talupuru, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo

CoRR, 2024

Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge.

Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities.

Maximilian Mozes, Xuanli He, Bennett Kleinberg, Lewis D. Griffin

CoRR, 2023

Challenges and Applications of Large Language Models.

Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy

CoRR, 2023

Susceptibility to Influence of Large Language Models.

Lewis D. Griffin, Bennett Kleinberg, Maximilian Mozes, Kimberly T. Mai, Maria Vau, Matthew Caldwell, Augustine Marvor-Parker

CoRR, 2023

Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning.

Maximilian Mozes, Tolga Bolukbasi, Ann Yuan, Frederick Liu, Nithum Thain, Lucas Dixon

CoRR, 2023

Towards Agile Text Classifiers for Everyone.

Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Textwash - automated open-source text anonymisation.

Bennett Kleinberg, Toby Davies, Maximilian Mozes

CoRR, 2022

Identifying Human Strategies for Generating Word-Level Adversarial Examples.

Maximilian Mozes, Bennett Kleinberg, Lewis D. Griffin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Correction to: Online influence, offline violence: language use on YouTube surrounding the 'Unite the Right' rally.

Isabelle van der Vegt, Maximilian Mozes, Paul Gill, Bennett Kleinberg

J. Comput. Soc. Sci., 2021

Online influence, offline violence: language use on YouTube surrounding the 'Unite the Right' rally.

Isabelle van der Vegt, Maximilian Mozes, Paul Gill, Bennett Kleinberg

J. Comput. Soc. Sci., 2021

Scene Graph Generation for Better Image Captioning?

Maximilian Mozes, Martin Schmitt, Vladimir Golkov, Hinrich Schütze, Daniel Cremers

CoRR, 2021

Worry, coping and resignation - A repeated-measures study on emotional responses after a year in the pandemic.

Maximilian Mozes, Isabelle van der Vegt, Bennett Kleinberg

CoRR, 2021

No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization.

Maximilian Mozes, Bennett Kleinberg

CoRR, 2021

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification.

Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples.

Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

The Grievance Dictionary: Understanding Threatening Language Use.

Isabelle van der Vegt, Maximilian Mozes, Bennett Kleinberg, Paul Gill

CoRR, 2020

Measuring Emotions in the COVID-19 Real World Worry Dataset.

Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes

CoRR, 2020

2019

Online influence, offline violence: Linguistic responses to the 'Unite the Right' rally.

Isabelle van der Vegt, Maximilian Mozes, Paul Gill, Bennett Kleinberg

CoRR, 2019

2018

Identifying the sentiment styles of YouTube's vloggers.

Bennett Kleinberg, Maximilian Mozes, Isabelle van der Vegt

CoRR, 2018

Identifying the narrative styles of YouTube's vloggers.

Bennett Kleinberg, Maximilian Mozes, Isabelle van der Vegt

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Web-based text anonymization with Node.js: Introducing NETANOS (Named entity-based Text Anonymization for Open Science).

Bennett Kleinberg, Maximilian Mozes

J. Open Source Softw., 2017