| Exploring the limits of transfer learning with a unified text-to-text transformer C Raffel, N Shazeer, A Roberts, K Lee, S Narang, M Matena, Y Zhou, W Li, ... The Journal of Machine Learning Research 21 (1), 5485-5551, 2020 | 11550 | 2020 |
| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022 | 2083 | 2022 |
| Extracting Training Data from Large Language Models. N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ... USENIX Security Symposium 6, 2021 | 873 | 2021 |
| PaLM 2 Technical Report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 296 | 2023 |
| Quantifying Memorization Across Neural Language Models N Carlini, D Ippolito, M Jagielski, K Lee, F Tramer, C Zhang arXiv preprint arXiv:2202.07646, 2022 | 234 | 2022 |
| Deduplicating training data makes language models better K Lee, D Ippolito, A Nystrom, C Zhang, D Eck, C Callison-Burch, N Carlini arXiv preprint arXiv:2107.06499, 2021 | 221 | 2021 |
| WT5?! Training Text-to-Text Models to Explain their Predictions S Narang, C Raffel, K Lee, A Roberts, N Fiedel, K Malkan arXiv preprint arXiv:2004.14546, 2020 | 136 | 2020 |
| Hallucinations in neural machine translation K Lee, O Firat, A Agarwal, C Fannjiang, D Sussillo | 94 | 2018 |
| What Does it Mean for a Language Model to Preserve Privacy? H Brown, K Lee, F Mireshghallah, R Shokri, F Tramèr 2022 ACM Conference on Fairness, Accountability, and Transparency, 2280-2292, 2022 | 71 | 2022 |
| Propagation of information along the cortical hierarchy as a function of attention while reading and listening to stories M Regev, E Simony, K Lee, KM Tan, J Chen, U Hasson Cerebral Cortex 29 (10), 4017-4034, 2019 | 64 | 2019 |
| Counterfactual Memorization in Neural Language Models C Zhang, D Ippolito, K Lee, M Jagielski, F Tramèr, N Carlini arXiv preprint arXiv:2112.12938, 2021 | 46 | 2021 |
| Measuring Forgetting of Memorized Training Examples M Jagielski, O Thakkar, F Tramèr, D Ippolito, K Lee, N Carlini, E Wallace, ... arXiv preprint arXiv:2207.00099, 2022 | 39 | 2022 |
| Are aligned neural networks adversarially aligned? N Carlini, M Nasr, CA Choquette-Choo, M Jagielski, I Gao, A Awadalla, ... arXiv preprint arXiv:2306.15447, 2023 | 36 | 2023 |
| Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy D Ippolito, F Tramèr, M Nasr, C Zhang, M Jagielski, K Lee, ... arXiv preprint arXiv:2210.17546, 2022 | 28 | 2022 |
| A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity S Longpre, G Yauney, E Reif, K Lee, A Roberts, B Zoph, D Zhou, J Wei, ... arXiv preprint arXiv:2305.13169, 2023 | 16 | 2023 |
| MADLAD-400: A Multilingual And Document-Level Large Audited Dataset S Kudugunta, I Caswell, B Zhang, X Garcia, CA Choquette-Choo, K Lee, ... arXiv preprint arXiv:2309.04662, 2023 | 4 | 2023 |
| Students Parrot Their Teachers: Membership Inference on Model Distillation M Jagielski, M Nasr, C Choquette-Choo, K Lee, N Carlini arXiv preprint arXiv:2303.03446, 2023 | 4 | 2023 |
| Talkin’‘Bout AI Generation: Copyright and the Generative AI Supply Chain K Lee, AF Cooper, J Grimmelmann Available at SSRN 4523551, 2023 | 3 | 2023 |
| Is My Prediction Arbitrary? Measuring Self-Consistency in Fair Classification AF Cooper, K Lee, S Barocas, C De Sa, S Sen, B Zhang arXiv preprint arXiv:2301.11562, 2023 | 3 | 2023 |
| Report of the 1st Workshop on Generative AI and Law AF Cooper, K Lee, J Grimmelmann, D Ippolito, C Callison-Burch, ... arXiv preprint arXiv:2311.06477, 2023 | | 2023 |
Adam RobertsGoogle BrainVerified email at google.com
