Tong, Meg
Anthropic (United States)
7 papers on CoChat
Most cited papers
- 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
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
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
Berglund, L., Tong, M., Kaufmann, M., Balesni, M., Stickland, A. C., Korbak, T., & Evans, O. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 36
- Verified
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
Taken out of context: On measuring situational awareness in LLMs
Berglund, L., Stickland, A. C., Balesni, M., Kaufmann, M., Tong, M., Korbak, T., Kokotajlo, D., & Evans, O. (2023) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 8
- Verified
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
Sharma, M., Tong, M., Mu, J., Wei, J., Kruthoff, J., Goodfriend, S., Ong, E., Peng, A., Agarwal, R., Anil, C., et al. (2025) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 7
- 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
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