Barez, Fazl
University of Oxford
9 papers on CoChatORCID 0009-0008-1889-6577
Most cited papers
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Best-of-N Jailbreaking
Hughes, J., Price, S., Lynch, A., Schaeffer, R., Barez, F., Koyejo, S., Sleight, H., Jones, E., Perez, E., & Sharma, M. (2024) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 129
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Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Hubinger, E., Denison, C., Mu, J., Lambert, M., Tong, M., MacDiarmid, M., Lanham, T., Ziegler, D. M., Maxwell, T., Cheng, N., et al. (2024) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 46
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The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python
Miceli Barone, A. V., Barez, F., Cohen, S. B., & Konstas, I. (2023) · Findings of the Association for Computational Linguistics: ACL 2023
Software Engineering ResearchTopic Modeling
Cited by 12
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Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
Denison, C., MacDiarmid, M., Barez, F., Duvenaud, D., Kravec, S., Marks, S., Schiefer, N., Soklaski, R., Tamkin, A., Kaplan, J., et al. (2024) · arXiv
Reinforcement Learning in RoboticsEthics and Social Impacts of AI
Cited by 11
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Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer
Simhi, A., Itzhak, I., Barez, F., Stanovsky, G., & Belinkov, Y. (2025) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 8
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Establishing Best Practices for Building Rigorous Agentic Benchmarks
Zhu, Y., Jin, T., Pruksachatkun, Y., Zhang, A., Liu, S., Cui, S., Kapoor, S., Longpre, S., Meng, K., Weiss, R., et al. (2025) · arXiv
Artificial Intelligence ApplicationsAI-based Problem Solving and Planning
Cited by 2
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Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders
Lan, M., Torr, P., Meek, A., Khakzar, A., Krueger, D., & Barez, F. (2024) · arXiv
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 2
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Near to Mid-term Risks and Opportunities of Open-Source Generative AI
Eiras, F., Petrov, A., Vidgen, B., de Witt, C. S., Pizzati, F., Elkins, K., Mukhopadhyay, S., Bibi, A., Csaba, B., Steibel, F., et al. (2024) · arXiv
Ethics and Social Impacts of AILaw, AI, and Intellectual Property
Cited by 2
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Establishing Best Practices in Building Rigorous Agentic Benchmarks
Zhu, Y., Jin, T., Pruksachatkun, Y., Zhang, A., Liu, S., Cui, S., Kapoor, S., Longpre, S., Meng, K., Weiss, R., et al. (2025) · Advances in Neural Information Processing Systems 38
Artificial Intelligence ApplicationsAI-based Problem Solving and Planning
Cited by 0
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