Benedikt Stroebl

11 papers A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI Agents That Matter. Trans. Mach. Learn. Res. Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, Nitya Nadgir, Arvind Narayanan
2025	J	`jnl`	Dynamic Risk Assessments for Offensive Cybersecurity Agents. CoRR Boyi Wei, Benedikt Stroebl, Jiacen Xu, Joie Zhang, Zhou Li, Peter Henderson
2025	A	`conf`	Hindsight Merging: Diverse Data Generation with Language Models. UAI Veniamin Veselovsky, Benedikt Stroebl, Gianluca M. Bencomo, Dilip Arumugam, Lisa Schut, Arvind Narayanan, Thomas L. Griffiths
2025	J	`jnl`	Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation. CoRR Sayash Kapoor, Benedikt Stroebl, Peter Kirgis, Nitya Nadgir, Zachary S. Siegel, Boyi Wei, Tianci Xue, Ziru Chen, Felix Chen, Saiteja Utpala, Franck Ndzomga, Dheeraj Oruganty, Sophie Luskin, Kangheng Liu, Botao Yu, Amit Arora, Dongyoon Hahm, Harsh Trivedi, Huan Sun, Juyong Lee, Tengjun Jin, Yifan Mai, Yifei Zhou, Yuxuan Zhu, Rishi Bommasani, Daniel Kang, Dawn Song, Peter Henderson, Yu Su, Percy Liang, Arvind Narayanan
2025	J	`jnl`	Localized Cultural Knowledge is Conserved and Controllable in Large Language Models. CoRR Veniamin Veselovsky, Berke Argin, Benedikt Stroebl, Chris Wendler, Robert West, James Evans, Thomas L. Griffiths, Arvind Narayanan
2025	J	`jnl`	Safety Devolution in AI Agents. CoRR Cheng Yu, Benedikt Stroebl, Diyi Yang, Orestis Papakyriakopoulos
2025	J	`jnl`	The Book of Life approach: Enabling richness and scale for life course research. CoRR Mark D. Verhagen, Benedikt Stroebl, Tiffany Liu, Lydia T. Liu, Matthew J. Salganik
2024	J	`jnl`	AI Agents That Matter. CoRR Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, Nitya Nadgir, Arvind Narayanan
2024	J	`jnl`	CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark. CoRR Zachary S. Siegel, Sayash Kapoor, Nitya Nagdir, Benedikt Stroebl, Arvind Narayanan
2024	J	`jnl`	CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark. Trans. Mach. Learn. Res. Zachary S. Siegel, Sayash Kapoor, Nitya Nadgir, Benedikt Stroebl, Arvind Narayanan
2024	J	`jnl`	Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect Verifiers. CoRR Benedikt Stroebl, Sayash Kapoor, Arvind Narayanan