Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias. - Jacob Pfau; Albert T. Young; Maria L. Wei; Michael J. Keiser (CoRR, 2019)

Robust Semantic Interpretability: Revisiting Concept Activation Vectors. - Jacob Pfau; Albert T. Young; Jerome Wei; Maria L. Wei; Michael J. Keiser (CoRR, 2021)

Objective Robustness in Deep Reinforcement Learning. - Jack Koch; Lauro Langosco; Jacob Pfau; James Le; Lee Sharkey (CoRR, 2021)

Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models. - Albert T. Young; Kristen Fernandez; Jacob Pfau; Rasika Reddy; Nhat Anh Cao; Max Y. von Franque; Arjun Johal; Benjamin V. Wu; Rachel R. Wu; Jennifer Y. Chen; Raj P. Fadadu; Juan A. Vasquez; et al. (npj Digit. Medicine, 2021)

Goal Misgeneralization in Deep Reinforcement Learning. - Lauro Langosco di Langosco; Jack Koch; Lee D. Sharkey; Jacob Pfau; David Krueger 001 (ICML, 2022)

Self-Consistency of Large Language Models under Ambiguity. - Henning Bartsch; Ole Jorgensen; Domenic Rosati; Jason Hoelscher-Obermaier; Jacob Pfau (BlackboxNLP@EMNLP, 2023)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - Stephen Casper; Xander Davies; Claudia Shi; Thomas Krendl Gilbert; Jérémy Scheurer; Javier Rando; Rachel Freedman; Tomasz Korbak; David Lindner; Pedro Freire; Tony Tong Wang; Samuel Marks; et al. (Trans. Mach. Learn. Res., 2023)

Let's Think Dot by Dot: Hidden Computation in Transformer Language Models. - Jacob Pfau; William Merrill; Samuel R. Bowman (CoRR, 2024)

Steering Without Side Effects: Improving Post-Deployment Control of Language Models. - Asa Cooper Stickland; Alexander Lyzhov; Jacob Pfau; Salsabila Mahdi; Samuel R. Bowman (CoRR, 2024)

Taking AI Welfare Seriously. - Robert Long; Jeff Sebo; Patrick Butlin; Kathleen Finlinson; Kyle Fish; Jacqueline Harding; Jacob Pfau; Toni Sims; Jonathan Birch; David Chalmers (CoRR, 2024)

When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback. - Jane Pan; Ryan Shar; Jacob Pfau; Ameet Talwalkar; He He 001; Valerie Chen (ACL (Findings), 2025)

An alignment safety case sketch based on debate. - Marie Davidsen Buhl; Jacob Pfau; Benjamin Hilton; Geoffrey Irving (CoRR, 2025)