---
title: "Jacob Steinhardt — all works — Elamur Research"
description: "All 128 works of Jacob Steinhardt in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/jacob-steinhardt/works/"
---
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# Jacob Steinhardt — all works

128 works · page 1 of 2 · 1–100 · [← Jacob Steinhardt](https://md.research.elamur.ai/free/en/authors/jacob-steinhardt/)

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1. [**Measuring Massive Multitask Language Understanding arXiv:2009.03300**Dan Hendrycks, Collin Burns, Steven Basart, et al.*2020 · 3,620 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-measuring-massive-multitask-language-understanding/)
2. [**Measuring Mathematical Problem Solving With the MATH Dataset arXiv:2103.03874**Dan Hendrycks, Collin Burns, Saurav Kadavath, et al.*2021 · 2,395 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-measuring-mathematical-problem-solving-math/)
3. **[The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization ↗](https://doi.org/10.1109/iccv48922.2021.00823) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Dan Hendrycks et al.*2021 · 1,291 citations*
4. **[Natural Adversarial Examples ↗](https://doi.org/10.1109/cvpr46437.2021.01501) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Dan Hendrycks et al.*2019 · 1,121 citations*
5. **[The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation ↗](https://doi.org/10.17863/cam.22520) arXiv (Cornell University) · no summary yet**Miles Brundage et al.*2018 · 866 citations*
6. **[Jailbroken: How Does LLM Safety Training Fail?](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbroken-llm-safety-training-fail/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Alexander Wei, Nika Haghtalab, Jacob Steinhardt*2023 · 688 citations*
7. **[Certified Defenses against Adversarial Examples ↗](https://arxiv.org/abs/1801.09344) arXiv (Cornell University) · no summary yet**Aditi Raghunathan, Jacob Steinhardt, Percy Liang*2018 · 550 citations*
8. [**Measuring Coding Challenge Competence With APPS arXiv:2105.09938**Dan Hendrycks, Steven Basart, Saurav Kadavath, et al.*2021 · 457 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-measuring-coding-challenge-competence-apps/)
9. [**Aligning AI With Shared Human Values arXiv:2008.02275**Dan Hendrycks, Collin Burns, Steven Basart, et al.*2020 · 395 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-aligning-ai-shared-human-values/)
10. **[Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small ↗](https://arxiv.org/abs/2211.00593) arXiv:2211.00593 · no summary yet**Kevin Wang et al.*2022 · 376 citations*
11. **[Troubling Trends in Machine Learning Scholarship ↗](https://arxiv.org/abs/1807.03341) arXiv:1807.03341 · no summary yet**Zachary C. Lipton, Jacob Steinhardt*2018 · 257 citations*
12. **[Discovering Latent Knowledge in Language Models Without Supervision ↗](https://arxiv.org/abs/2212.03827) arXiv:2212.03827 · no summary yet**Collin Burns et al.*2022 · 250 citations*
13. [**Concrete Problems in AI Safety arXiv:1606.06565**Dario Amodei, Chris Olah, Jacob Steinhardt, et al.*2016 · 232 citations*](https://md.research.elamur.ai/free/en/papers/amodei-2016-concrete-problems-ai-safety/)
14. [**Progress measures for grokking via mechanistic interpretability arXiv:2301.05217**Neel Nanda, Lawrence Chan, Tom Lieberum, et al.*2023 · 228 citations*](https://md.research.elamur.ai/free/en/papers/nanda-2023-progress-measures-grokking-mechanistic-interpretability/)
15. **[Learning from untrusted data ↗](https://doi.org/10.1145/3055399.3055491) ACM SIGACT Symposium on Theory of Computing (STOC) · no summary yet**Moses Charikar, Jacob Steinhardt, Gregory Valiant*2017 · 218 citations*
16. **[Semidefinite relaxations for certifying robustness to adversarial examples ↗](https://arxiv.org/abs/1811.01057) arXiv (Cornell University) · no summary yet**Aditi Raghunathan, Jacob Steinhardt, Percy Liang*2018 · 201 citations*
17. **[Stronger data poisoning attacks break data sanitization defenses ↗](https://doi.org/10.1007/s10994-021-06119-y) Machine Learning · no summary yet**Pang Wei Koh, Jacob Steinhardt, Percy Liang*2018 · 200 citations*
18. [**Eliciting Latent Predictions from Transformers with the Tuned Lens arXiv:2303.08112**Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.*2023 · 188 citations*](https://md.research.elamur.ai/free/en/papers/belrose-2023-eliciting-latent-predictions-transformers-tuned/)
19. **[Scaling Out-of-Distribution Detection for Real-World Settings ↗](https://arxiv.org/abs/1911.11132) arXiv (Cornell University) · no summary yet**Dan Hendrycks et al.*2019 · 175 citations*
20. **[Unsolved Problems in ML Safety ↗](https://arxiv.org/abs/2109.13916) arXiv:2109.13916 · no summary yet**Dan Hendrycks et al.*2021 · 151 citations*
21. **[Sever: A Robust Meta-Algorithm for Stochastic Optimization ↗](https://arxiv.org/abs/1803.02815) arXiv (Cornell University) · no summary yet**Ilias Diakonikolas et al.*2018 · 139 citations*
22. **[PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures ↗](https://doi.org/10.1109/cvpr52688.2022.01628) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Dan Hendrycks et al.*2022 · 111 citations*
23. **[Certified Defenses for Data Poisoning Attacks ↗](https://arxiv.org/abs/1706.03691) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Pang Wei Koh, Percy Liang*2017 · 103 citations*
24. **[Robust moment estimation and improved clustering via sum of squares ↗](https://doi.org/10.1145/3188745.3188970) ACM SIGACT Symposium on Theory of Computing (STOC) · no summary yet**Pravesh K. Kothari, Jacob Steinhardt, David Steurer*2018 · 92 citations*
25. **[Automatically Auditing Large Language Models via Discrete Optimization ↗](https://arxiv.org/abs/2303.04381) arXiv:2303.04381 · no summary yet**Erik Jones et al.*2023 · 89 citations*
26. **[Finite-time regional verification of stochastic non-linear systems ↗](https://doi.org/10.1177/0278364912444146) The International Journal of Robotics Research · no summary yet**Jacob Steinhardt, Russ Tedrake*2012 · 89 citations*
27. **[The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models ↗](https://arxiv.org/abs/2201.03544) arXiv (Cornell University) · no summary yet**Pan, Alexander, Kush Bhatia, Jacob Steinhardt*2022 · 83 citations*
28. **[Capturing Failures of Large Language Models Via Human Cognitive Biases ↗](https://doi.org/10.52202/068431-0856) neural information processing systems · no summary yet**Erik Jones, Jacob Steinhardt*2022 · 82 citations*
29. **[Rethinking Bias-Variance Trade-off for Generalization of Neural Networks ↗](https://arxiv.org/abs/2002.11328) arXiv (Cornell University) · no summary yet**Zitong Yang et al.*2020 · 81 citations*
30. **[Testing Robustness Against Unforeseen Adversaries ↗](https://arxiv.org/abs/1908.08016) arXiv (Cornell University) · no summary yet**Kaufmann, Max et al.*2019 · 80 citations*
31. **[Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers ↗](https://doi.org/10.4230/lipics.itcs.2018.45) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Moses Charikar, Gregory Valiant*2017 · 73 citations*
32. **[Protein language models are biased by unequal sequence sampling across the tree of life ↗](https://doi.org/10.1101/2024.03.07.584001) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Frances Ding, Jacob Steinhardt*2024 · 57 citations*
33. **[Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm ↗](https://openalex.org/W95741308) no summary yet**Jacob Steinhardt, Percy Liang*2014 · 48 citations*
34. **[FrAngel: component-based synthesis with control structures ↗](https://doi.org/10.1145/3290386) Proceedings of the ACM on Programming Languages · no summary yet**Kensen Shi, Jacob Steinhardt, Percy Liang*2019 · 44 citations*
35. **[Overthinking the Truth: Understanding how Language Models Process False Demonstrations ↗](https://arxiv.org/abs/2307.09476) arXiv (Cornell University) · no summary yet**Danny Halawi, Jean-Stanislas Denain, Jacob Steinhardt*2023 · 43 citations*
36. [**Goal Driven Discovery of Distributional Differences via Language Descriptions arXiv:2302.14233**Ruiqi Zhong, Peter Zhang, Steve Li, et al.*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2023-goal-driven-discovery-distributional-differences/)
37. **[Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations ↗](https://arxiv.org/abs/2307.08678) arXiv (Cornell University) · no summary yet**Yanda Chen et al.*2023 · 41 citations*
38. **[Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level ↗](https://aclanthology.org/2021.findings-acl.334/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Ruiqi Zhong et al.*2021 · 39 citations*
39. **[Approaching Human-Level Forecasting with Language Models ↗](https://doi.org/10.52202/079017-1598) neural information processing systems · no summary yet**Danny Halawi et al.*2024 · 38 citations*
40. **[Describing Differences between Text Distributions with Natural Language ↗](https://arxiv.org/abs/2201.12323) arXiv (Cornell University) · no summary yet**Ruiqi Zhong et al.*2022 · 34 citations*
41. **[Generalized resilience and robust statistics ↗](https://doi.org/10.1214/22-aos2186) The Annals of Statistics · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2019 · 34 citations*
42. **[Language Models Learn to Mislead Humans via RLHF ↗](https://arxiv.org/abs/2409.12822) arXiv (Cornell University) · no summary yet**Jiaxin Wen et al.*2024 · 33 citations*
43. **[How do Language Models Bind Entities in Context? ↗](https://arxiv.org/abs/2310.17191) arXiv (Cornell University) · no summary yet**Jiahai Feng, Jacob Steinhardt*2023 · 31 citations*
44. **[What Would Jiminy Cricket Do? Towards Agents That Behave Morally ↗](https://arxiv.org/abs/2110.13136) arXiv (Cornell University) · no summary yet**Dan Hendrycks et al.*2021 · 30 citations*
45. **[Describing Differences in Image Sets with Natural Language ↗](https://doi.org/10.1109/cvpr52733.2024.02284) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Lisa Dunlap et al.*2024 · 28 citations*
46. **[Feedback Loops With Language Models Drive In-Context Reward Hacking ↗](https://arxiv.org/abs/2402.06627) arXiv:2402.06627 · no summary yet**Alexander Pan et al.*2024 · 26 citations*
47. **[Better Agnostic Clustering Via Relaxed Tensor Norms ↗](https://arxiv.org/abs/1711.07465) arXiv (Cornell University) · no summary yet**Pravesh K. Kothari, Jacob Steinhardt*2017 · 25 citations*
48. **[Mass-Producing Failures of Multimodal Systems with Language Models ↗](https://doi.org/10.52202/075280-1275) neural information processing systems · no summary yet**Shengbang Tong, Erik Jones, Jacob Steinhardt*2023 · 23 citations*
49. **[Interpreting CLIP's Image Representation via Text-Based Decomposition ↗](https://arxiv.org/abs/2310.05916) arXiv (Cornell University) · no summary yet**Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt*2023 · 22 citations*
50. **[Robust estimation via generalized quasi-gradients ↗](https://doi.org/10.1093/imaiai/iaab018) Information and Inference A Journal of the IMA · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2021 · 22 citations*
51. **[Transfer of Adversarial Robustness Between Perturbation Types ↗](https://arxiv.org/abs/1905.01034) arXiv (Cornell University) · no summary yet**Daniel D. Kang et al.*2019 · 22 citations*
52. **[Research for practice ↗](https://doi.org/10.1145/3316774) Communications of the ACM · no summary yet**Zachary C. Lipton, Jacob Steinhardt*2019 · 22 citations*
53. **[Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming ↗](https://arxiv.org/abs/2010.11645) arXiv:2010.11645 · no summary yet**Sumanth Dathathri et al.*2020 · 21 citations*
54. **[Minimax rates for memory-bounded sparse linear regression ↗](https://openalex.org/W1870267105) Conference on Learning Theory · no summary yet**Jacob Steinhardt, John C. Duchi*2015 · 21 citations*
55. **[Unsupervised Risk Estimation Using Only Conditional Independence Structure ↗](https://arxiv.org/abs/1606.05313) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Percy Liang*2016 · 20 citations*
56. **[Forecasting Future World Events with Neural Networks ↗](https://doi.org/10.52202/068431-1979) neural information processing systems · no summary yet**Andy Zou et al.*2022 · 18 citations*
57. **[Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation ↗](https://arxiv.org/abs/2406.20053) arXiv (Cornell University) · no summary yet**Danny Halawi et al.*2024 · 17 citations*
58. **[When does the Tukey Median work? ↗](https://doi.org/10.1109/isit44484.2020.9173995) IEEE International Symposium on Information Theory (ISIT) · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2020 · 16 citations*
59. **[Learning Where to Sample in Structured Prediction ↗](https://openalex.org/W2116929514) no summary yet**Tianlin Shi, Jacob Steinhardt, Percy Liang*2015 · 15 citations*
60. **[Learning with relaxed supervision ↗](https://openalex.org/W2181831842) neural information processing systems · no summary yet**Jacob Steinhardt, Percy Liang*2015 · 15 citations*
61. **[Identifying Statistical Bias in Dataset Replication ↗](https://arxiv.org/abs/2005.09619) arXiv (Cornell University) · no summary yet**Logan Engstrom et al.*2020 · 14 citations*
62. **[Permutations with Ascending and Descending Blocks ↗](https://doi.org/10.37236/286) The Electronic Journal of Combinatorics · no summary yet**Jacob Steinhardt*2010 · 14 citations*
63. **[Which Attention Heads Matter for In-Context Learning? ↗](https://arxiv.org/abs/2502.14010) arXiv (Cornell University) · no summary yet**Kayo Yin, Jacob Steinhardt*2025 · 12 citations*
64. **[More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize ↗](https://arxiv.org/abs/2203.06176) arXiv (Cornell University) · no summary yet**Wei, Alexander, Wei Ping Hu, Jacob Steinhardt*2022 · 12 citations*
65. **[Limitations of Post-Hoc Feature Alignment for Robustness ↗](https://doi.org/10.1109/cvpr46437.2021.00255) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Collin Burns, Jacob Steinhardt*2021 · 12 citations*
66. **[LatentQA: Teaching LLMs to Decode Activations Into Natural Language ↗](https://arxiv.org/abs/2412.08686) arXiv (Cornell University) · no summary yet**Pan, Alexander, Lijie Chen, Jacob Steinhardt*2024 · 11 citations*
67. **[Article-Level Slant and Polarization of News Consumption on Social Media ↗](https://doi.org/10.2139/ssrn.4932600) SSRN Electronic Journal · no summary yet**Luca Braghieri et al.*2024 · 11 citations*
68. **[Supply-Side Equilibria in Recommender Systems ↗](https://doi.org/10.52202/075280-0642) neural information processing systems · no summary yet**Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt*2023 · 11 citations*
69. **[Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition ↗](https://arxiv.org/abs/2103.09947) arXiv (Cornell University) · no summary yet**Yaodong Yu et al.*2021 · 11 citations*
70. **[On Coloring the Odd-Distance Graph ↗](https://doi.org/10.37236/250) The Electronic Journal of Combinatorics · no summary yet**Jacob Steinhardt*2009 · 11 citations*
71. **[Monitoring Latent World States in Language Models with Propositional Probes ↗](https://arxiv.org/abs/2406.19501) arXiv (Cornell University) · no summary yet**Jiahai Feng, Stuart Russell, Jacob Steinhardt*2024 · 10 citations*
72. **[Does robustness imply tractability? A lower bound for planted clique in the semi-random model ↗](https://arxiv.org/abs/1704.05120) arXiv (Cornell University) · no summary yet**Jacob Steinhardt*2017 · 10 citations*
73. **[VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models ↗](https://arxiv.org/abs/2410.12851) arXiv (Cornell University) · no summary yet**Lisa Dunlap et al.*2024 · 9 citations*
74. **[Explaining Datasets in Words: Statistical Models with Natural Language Parameters ↗](https://doi.org/10.52202/079017-2520) neural information processing systems · no summary yet**Ruiqi Zhong et al.*2024 · 9 citations*
75. **[Grounding Representation Similarity Through Statistical Testing ↗](https://arxiv.org/abs/2108.01661) arXiv (Cornell University) · no summary yet**Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt*2021 · 9 citations*
76. **[Filtering with Abstract Particles ↗](https://openalex.org/W197196944) no summary yet**Jacob Steinhardt, Percy Liang*2014 · 9 citations*
77. **[Eliciting Language Model Behaviors with Investigator Agents ↗](https://arxiv.org/abs/2502.01236) arXiv (Cornell University) · no summary yet**Xiang Lisa Li et al.*2025 · 8 citations*
78. **[Predicting Out-of-Distribution Error with the Projection Norm ↗](https://arxiv.org/abs/2202.05834) arXiv (Cornell University) · no summary yet**Yaodong Yu et al.*2022 · 8 citations*
79. **[Memory, Communication, and Statistical Queries ↗](https://openalex.org/W2396728331) Electronic colloquium on computational complexity · no summary yet**Jacob Steinhardt, Gregory Valiant, Stefan Wager*2015 · 8 citations*
80. **[Flexible Martingale Priors for Deep Hierarchies. ↗](https://openalex.org/W578831762) no summary yet**Jacob Steinhardt, Zoubin Ghahramani*2012 · 8 citations*
81. **[Finite-Time Regional Verification of Stochastic Nonlinear Systems ↗](https://doi.org/10.15607/rss.2011.vii.041) no summary yet**Jacob Steinhardt, Russ Tedrake*2011 · 8 citations*
82. **[Training Language Models to Explain Their Own Computations ↗](https://arxiv.org/abs/2511.08579) arXiv (Cornell University) · no summary yet**Belinda Z. Li et al.*2025 · 7 citations*
83. **[Establishing Best Practices for Building Rigorous Agentic Benchmarks ↗](https://arxiv.org/abs/2507.02825) arXiv:2507.02825 · no summary yet**Yuxuan Zhu et al.*2025 · 7 citations*
84. **[Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction ↗](https://arxiv.org/abs/1606.05374) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Gregory Valiant, Moses Charikar*2016 · 7 citations*
85. **[Reified Context Models ↗](https://arxiv.org/abs/1502.06665) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Percy Liang*2015 · 6 citations*
86. **[The Statistics of Streaming Sparse Regression ↗](https://arxiv.org/abs/1412.4182) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Stefan Wager, Percy Liang*2014 · 6 citations*
87. **[Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants ↗](https://arxiv.org/abs/2512.15712) arXiv (Cornell University) · no summary yet**Huang, Vincent et al.*2025 · 5 citations*
88. **[Adversaries Can Misuse Combinations of Safe Models ↗](https://arxiv.org/abs/2406.14595) arXiv (Cornell University) · no summary yet**Erik Jones, Anca D. Dragan, Jacob Steinhardt*2024 · 5 citations*
89. **[Learning Equilibria in Matching Markets with Bandit Feedback ↗](https://doi.org/10.1145/3583681) Journal of the ACM · no summary yet**Meena Jagadeesan et al.*2021 · 5 citations*
90. **[Approximating How Single Head Attention Learns ↗](https://arxiv.org/abs/2103.07601) arXiv (Cornell University) · no summary yet**Charlie Snell et al.*2021 · 5 citations*
91. **[Language Model Circuits Are Sparse in the Neuron Basis ↗](https://arxiv.org/abs/2601.22594) arXiv (Cornell University) · no summary yet**Aryaman Arora et al.*2026 · 4 citations*
92. **[Understanding In-context Learning of Addition via Activation Subspaces ↗](https://arxiv.org/abs/2505.05145) arXiv (Cornell University) · no summary yet**Xinyan Hu et al.*2025 · 4 citations*
93. **[Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗](https://doi.org/10.52202/085713-5547) neural information processing systems · no summary yet**Yuxuan Zhu et al.*2025 · 4 citations*
94. **[Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts ↗](https://arxiv.org/abs/2412.04614) arXiv (Cornell University) · no summary yet**Jiahai Feng, Stuart Russell, Jacob Steinhardt*2024 · 4 citations*
95. **[What Do Learning Dynamics Reveal About Generalization in LLM Reasoning? ↗](https://arxiv.org/abs/2411.07681) arXiv (Cornell University) · no summary yet**Katie Kang et al.*2024 · 4 citations*
96. **[Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition ↗](https://doi.org/10.52202/075280-2924) neural information processing systems · no summary yet**Meena Jagadeesan et al.*2023 · 4 citations*
97. **[How Would the Viewer Feel? Estimating Wellbeing from Video Scenarios ↗](https://doi.org/10.52202/068431-1349) neural information processing systems · no summary yet**Mantas Mazeika et al.*2022 · 4 citations*
98. **[Learning Fast-Mixing Models for Structured Prediction ↗](https://arxiv.org/abs/1502.06668) arXiv (Cornell University) · no summary yet**Jacob Steinhardt, Percy Liang*2015 · 4 citations*
99. **[Interpreting the Second-Order Effects of Neurons in CLIP ↗](https://arxiv.org/abs/2406.04341) arXiv (Cornell University) · no summary yet**Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt*2024 · 3 citations*
100. **[Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior ↗](https://arxiv.org/abs/2206.13498) arXiv (Cornell University) · no summary yet**Jean-Stanislas Denain, Jacob Steinhardt*2022 · 3 citations*

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