Stickland, Asa Cooper
5 papers on CoChat
Most cited papers
- 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
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Rein, D., Hou, B. L., Stickland, A. C., Petty, J., Pang, R. Y., Dirani, J., Michael, J., & Bowman, S. R. (2023) · arXiv
Topic ModelingExpert finding and Q&A systems
Cited by 30
- 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
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Sheshadri, A., Ewart, A., Guo, P., Lynch, A., Wu, C., Hebbar, V., Sleight, H., Stickland, A. C., Perez, E., Hadfield-Menell, D., et al. (2024) · arXiv
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 3
- Verified
RepliBench: Evaluating the autonomous replication capabilities of language model agents
Black, S., Stickland, A. C., Pencharz, J., Sourbut, O., Schmatz, M., Bailey, J., Matthews, O., Millwood, B., Remedios, A., & Cooney, A. (2025) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 0
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