Hubinger, Evan
14 papers on CoChat
Most cited papers
- Verified
Discovering Language Model Behaviors with Model-Written Evaluations
Perez, E., Ringer, S., Lukosiute, K., Nguyen, K., Chen, E., Heiner, S., Pettit, C., Olsson, C., Kundu, S., Kadavath, S., et al. (2023) · Findings of the Association for Computational Linguistics: ACL 2023
Topic ModelingNatural Language Processing Techniques
Cited by 194
- Verified
Steering Llama 2 via Contrastive Activation Addition
Rimsky, N., Gabrieli, N., Schulz, J., Tong, M., Hubinger, E., & Turner, A. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 57
- Verified
Risks from Learned Optimization in Advanced Machine Learning Systems
Hubinger, E., van Merwijk, C., Mikulik, V., Skalse, J., & Garrabrant, S. (2019) · arXiv
Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning
Cited by 53
- Verified
Discovering Language Model Behaviors with Model-Written Evaluations
Perez, E., Ringer, S., Lukošiūtė, K., Nguyen, K., Chen, E., Heiner, S., Pettit, C., Olsson, C., Kundu, S., Kadavath, S., et al. (2022) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 53
- Verified
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
- Verified
Measuring Faithfulness in Chain-of-Thought Reasoning
Lanham, T., Chen, A., Radhakrishnan, A., Steiner, B., Denison, C., Hernandez, D., Li, D., Durmus, E., Hubinger, E., Kernion, J., et al. (2023) · arXiv
Topic ModelingExplainable Artificial Intelligence (XAI)
Cited by 33
- Verified
Alignment faking in large language models
Greenblatt, R., Denison, C., Wright, B., Roger, F., MacDiarmid, M., Marks, S., Treutlein, J., Belonax, T., Chen, J., Duvenaud, D., et al. (2024) · arXiv
Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning
Cited by 30
- Verified
Studying Large Language Model Generalization with Influence Functions
Grosse, R., Bae, J., Anil, C., Elhage, N., Tamkin, A., Tajdini, A., Steiner, B., Li, D., Durmus, E., Perez, E., et al. (2023) · arXiv
Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning
Cited by 26
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Many-shot Jailbreaking
Anil, C., Durmus, E., Panickssery, N., Sharma, M., Benton, J., Kundu, S., Batson, J., Tong, M., Mu, J., Ford, D., et al. (2024) · Advances in Neural Information Processing Systems 37
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 25
- Verified
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
- Verified
Agentic Misalignment: How LLMs Could Be Insider Threats
Lynch, A., Wright, B., Larson, C., Ritchie, S. J., Mindermann, S., Hubinger, E., Perez, E., & Troy, K. (2025) · arXiv
Ethics and Social Impacts of AICybernetics and Technology in Society
Cited by 10
- Verified
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
Radhakrishnan, A., Nguyen, K., Chen, A., Chen, C., Denison, C., Hernandez, D., Durmus, E., Hubinger, E., Kernion, J., Lukošiūtė, K., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
- Verified
Auditing language models for hidden objectives
Marks, S., Treutlein, J., Bricken, T., Lindsey, J., Marcus, J., Mishra-Sharma, S., Ziegler, D., Ameisen, E., Batson, J., Belonax, T., et al. (2025) · arXiv
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 4
- Verified
Sabotage Evaluations for Frontier Models
Benton, J., Wagner, M., Christiansen, E., Anil, C., Perez, E., Srivastav, J., Durmus, E., Ganguli, D., Kravec, S., Shlegeris, B., et al. (2024) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 2
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