Jannik Brinkmann

According to our database, Jannik Brinkmann authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

Mitigating Adaptive Attacks against Reasoning Models with Activation Consistency Training.

Avidan Shah, Jannik Brinkmann, Rico Angell

CoRR, May, 2026

Agents of Chaos.

Natalie Shapira, Chris Wendler, Avery Yen, Gabriele Sarti, Koyena Pal, Olivia Floody, Adam Belfki, Alexander R. Loftus, Aditya Ratan Jannali, Nikhil Prakash, Jasmine Cui, Giordano Rogers, Jannik Brinkmann, Can Rager, Amir Zur, Michael Ripa, Aruna Sankaranarayanan, David Atkinson, Rohit Gandikota, Jaden Fiotto-Kaufman, EunJeong Hwang, Hadas Orgad, P. Sam Sahil, Negev Taglicht, Tomer Shabtay, Atai Ambus, Nitay Alon, Shiri Oron, Ayelet Gordon-Tapiero, Yotam Kaplan, Vered Shwartz, Tamar Rott Shaham, Christoph Riedl, Reuth Mirsky, Maarten Sap, David Manheim, Tomer D. Ullman, David Bau

CoRR, February, 2026

Mechanisms of AI Protein Folding in ESMFold.

Kevin Lu, Jannik Brinkmann, Stefan Huber, Aaron Mueller, Yonatan Belinkov, David Bau, Chris Wendler

CoRR, February, 2026

NSA: Neuro-symbolic ARC Challenge.

Pawel Batorski, Jannik Brinkmann, Paul Swoboda

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

In-Context Algebra.

Eric Todd, Jannik Brinkmann, Rohit Gandikota, David Bau

CoRR, December, 2025

In-Context Learning Without Copying.

Kerem Sahin, Sheridan Feucht, Adam Belfki, Jannik Brinkmann, Aaron Mueller, David Bau, Chris Wendler

CoRR, November, 2025

Jailbreak Strength and Model Similarity Predict Transferability.

Rico Angell, Jannik Brinkmann, He He

CoRR, June, 2025

Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages.

Jannik Brinkmann, Chris Wendler, Christian Bartelt, Aaron Mueller

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals.

Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect.

Alina Klerings, Jannik Brinkmann, Daniel Ruffinelli, Simone Paolo Ponzetto

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

2024

The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability.

Aaron Mueller, Jannik Brinkmann, Millicent L. Li, Samuel Marks, Koyena Pal, Nikhil Prakash, Can Rager, Aruna Sankaranarayanan, Arnab Sen Sharma, Jiuding Sun, Eric Todd, David Bau, Yonatan Belinkov

CoRR, 2024

NNsight and NDIF: Democratizing Access to Foundation Model Internals.

Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd, Jannik Brinkmann, Caden Juang, Koyena Pal, Can Rager, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Michael Ripa, Adam Belfki, Nikhil Prakash, Sumeet Multani, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau

CoRR, 2024

Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models.

Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Unsupervised Extraction of Test Scenarios from Time-Series Sensor Data using Trace Graphs.

Jannik Brinkmann, Noah Metzger, Christian Bartelt

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems.

Ashish Rana, Michael Oesterle, Jannik Brinkmann

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task.

Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt

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

2023

A Multidimensional Analysis of Social Biases in Vision Transformers.

Jannik Brinkmann, Paul Swoboda, Christian Bartelt

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Bias Mitigation for Large Language Models using Adversarial Learning.

Jasmina S. Ernst, Sascha Marton, Jannik Brinkmann, Eduardo Vellasques, Damien Foucard, Martin Kraemer, Marian Lambert

Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023