Steinhardt, Jacob
35 papers on CoChatORCID 0000-0002-0257-3860
Most cited papers
- Verified
Overthinking the Truth: Understanding how Language Models Process False Demonstrations
Halawi, D., Denain, J.-S., & Steinhardt, J. (2023) · arXiv
Topic ModelingExplainable Artificial Intelligence (XAI)
Cited by 7
- Verified
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Chen, Y., Zhong, R., Ri, N., Zhao, C., He, H., Steinhardt, J., Yu, Z., & McKeown, K. (2023) · arXiv
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 5
- Verified
Goal Driven Discovery of Distributional Differences via Language Descriptions
Zhong, R., Zhang, P., Li, S., Ahn, J., Klein, D., & Steinhardt, J. (2023) · arXiv
Topic ModelingComputational and Text Analysis Methods
Cited by 4
- Verified
Language Models Learn to Mislead Humans via RLHF
Wen, J., Zhong, R., Khan, A., Perez, E., Steinhardt, J., Huang, M., Bowman, S. R., He, H., & Feng, S. (2024) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 4
- Verified
Feedback Loops With Language Models Drive In-Context Reward Hacking
Pan, A., Jones, E., Jagadeesan, M., & Steinhardt, J. (2024) · arXiv
Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning
Cited by 3
- Verified
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
- Verified
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
Halawi, D., Wei, A., Wallace, E., Wang, T. T., Haghtalab, N., & Steinhardt, J. (2024) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 2
- Verified
Adversaries Can Misuse Combinations of Safe Models
Jones, E., Dragan, A., & Steinhardt, J. (2024) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 1
- Verified
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
- Verified
Uncovering Gaps in How Humans and LLMs Interpret Subjective Language
Jones, E., Patrawala, A., & Steinhardt, J. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
- Verified
VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
Dunlap, L., Mandal, K., Darrell, T., Steinhardt, J., & Gonzalez, J. E. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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