@InProceedings{jang2026exploration, 
	author = {Joschka Braun* and Eyon Jang* and Damon Falck* and Nathalie Kirch and Achu Menon and Perusha Moodley and Scott Emmons and Roland S. Zimmermann and David Lindner}, 
	title = {Exploration Hacking: Can LLMs Learn to Resist RL Training?}, 
	booktitle = {International Conference on Machine Learning (ICML)}, 
	year = {2026}, 
	eprint = {2604.28182}, 
}

@InProceedings{braun2026beyond, 
	author = {Joschka Braun and Carsten Eickhoff and Seyed Ali Bahrainian}, 
	title = {Beyond Multiple Choice: Evaluating Steering Vectors for Summarization}, 
	booktitle = {EACL 2026, Findings of the Association for Computational Linguistics}, 
	year = {2026}, 
}

@InProceedings{braun2025_resisting, 
	author = {Joschka Braun* and Eyon Jang* and Damon Falck* and Roland S. Zimmermann and David Lindner and Scott Emmons}, 
	title = {Resisting RL Elicitation of Biosecurity Capabilities: Reasoning Models Exploration Hacking on WMDP}, 
	booktitle = {NeurIPS 2025 Workshop on Biosecurity Safeguards for Generative AI (Oral, Best Paper Runner-Up)}, 
	year = {2025}, 
}

@InProceedings{braun2026understandingunreliabilitysteeringvectors, 
	author = {Joschka Braun}, 
	title = {Understanding Unreliability of Steering Vectors in Language Models: Geometric Predictors and the Limits of Linear Approximations}, 
	booktitle = {MSc Thesis, University of Tübingen}, 
	year = {2026}, 
	eprint = {2602.17881}, 
}

@InProceedings{braun2025beyond, 
	author = {Joschka Braun and Carsten Eickhoff and Seyed Ali Bahrainian}, 
	title = {Beyond Multiple Choice: Evaluating Steering Vectors for Adaptive Free-Form Summarization}, 
	booktitle = {ICML 2025 Workshop on Reliable and Responsible Foundation Models}, 
	year = {2025}, 
	eprint = {2505.24859}, 
}

@InProceedings{braun2025understanding, 
	author = {Joschka Braun and Carsten Eickhoff and David Krueger and Seyed Ali Bahrainian and Dmitrii Krasheninnikov}, 
	title = {Understanding (Un)Reliability of Steering Vectors in Language Models}, 
	booktitle = {ICLR 2025 Workshop on Foundation Models in the Wild}, 
	year = {2025}, 
	eprint = {2505.22637}, 
}

@InProceedings{Braun_Reweighting_Logits_2024, 
	author = {Joschka Braun and Bálint Mucsányi and Seyed Ali Bahrainian}, 
	title = {Logit Reweighting for Topic-Focused Summarization}, 
	booktitle = {Implemented a custom LogitsProcessor class to reweight logits of topic-relevant tokens during summary generation. Evaluated and compared different strategies on the NEWTS dataset.}, 
	year = {2024}, 
	eprint = {2507.05235}, 
}

@InProceedings{Braun2022BSCTHESIS, 
	author = {Joschka Braun}, 
	title = {Verbal Epistemic Uncertainty Estimation for Numeric Values with GPT-3}, 
	booktitle = {BSc Thesis at Univesity of Tübingen}, 
	year = {2022}, 
}

@InProceedings{Braun_Exploration_Hacking_Blog_Post_2026, 
	author = {Joschka Braun and Damon Falck and Eyon Jang}, 
	title = {A Conceptual Framework for Exploration Hacking}, 
	booktitle = {We formalize and decompose exploration hacking, where models strategically alter their exploration to resist RL training, presenting a conceptual framework and open problems ahead of our upcoming empirical paper.}, 
	year = {2026}, 
}

@InProceedings{Braun_Exploration_Hacking_Blog_Post_2025, 
	author = {Damon Falck and Joschka Braun and Eyon Jang}, 
	title = {Exploration hacking: can reasoning models subvert RL?}, 
	booktitle = {Exploration hacking, where models subvert their RL training by selectively under-exploring, could threaten both the development of beneficial capabilities and the effectiveness of safety training.}, 
	year = {2025}, 
}

@InProceedings{Braun_Anthropic_Hackathon_2025, 
	author = {Joschka Braun and Damon Falck and Eyon Jang}, 
	title = {Anthropic Alignment Hackathon: Exploration Hacking}, 
	booktitle = {Participated in the June 2025 Anthropic Alignment Hackathon in San Francisco, co-developing an "Exploration Hacking" prototype over two days alongside Damon Falck and Eyon Jang.}, 
	year = {2025}, 
}

@InProceedings{rein2025hcasthumancalibratedautonomysoftware, 
	author = {David Rein al.}, 
	title = {HCAST: Human-Calibrated Autonomy Software Tasks}, 
	booktitle = {Acknowledged Contributor to HCAST benchmark: Contributed task feedback and set human performance baselines for ML Engineering tasks.}, 
	year = {2025}, 
	eprint = {2503.17354}, 
}

@InProceedings{Braun_Steering_Blog_Post_2024, 
	author = {Joschka Braun and Dmitrii Krasheninnikov and Usman Anwar and Robert Kirk and Daniel Tan and David Krueger}, 
	title = {A Sober Look at Steering Vectors for LLMs}, 
	booktitle = {Blog post on the key challenges in controlling LLM behaviour with steering vectors. Published on The Alignment Forum.}, 
	year = {2024}, 
}