Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3253 | 2023 |
Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 1620 | 2023 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1195 | 2024 |
Estimating training data influence by tracing gradient descent G Pruthi, F Liu, M Sundararajan, S Kale Advances in Neural Information Processing Systems 33, 2020 | 433 | 2020 |
The creation and analysis of a website privacy policy corpus S Wilson, F Schaub, AA Dara, F Liu, S Cherivirala, PG Leon, ... Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 407* | 2016 |
Attention-based multimodal neural machine translation PY Huang, F Liu, SR Shiang, J Oh, C Dyer Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 230 | 2016 |
Incorporating Priors with Feature Attribution on Text Classification F Liu, B Avci ACL 2019, 2019 | 132 | 2019 |
Crowdsourcing annotations for websites' privacy policies: Can it really work? S Wilson, F Schaub, R Ramanath, N Sadeh, F Liu, NA Smith, F Liu Proceedings of the 25th International Conference on World Wide Web, 133-143, 2016 | 127 | 2016 |
TensorFlow model garden H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ... GitHub, 2020 | 108 | 2020 |
Learning character-level compositionality with visual features F Liu, H Lu, C Lo, G Neubig ACL 2017, 2017 | 81 | 2017 |
Towards tracing factual knowledge in language models back to the training data E Akyürek, T Bolukbasi, F Liu, B Xiong, I Tenney, J Andreas, K Guu arXiv preprint arXiv:2205.11482, 2022 | 77 | 2022 |
Detecting errors and estimating accuracy on unlabeled data with self-training ensembles J Chen, F Liu, B Avci, X Wu, Y Liang, S Jha Advances in Neural Information Processing Systems 34, 14980-14992, 2021 | 76 | 2021 |
Handling homographs in neural machine translation F Liu, H Lu, G Neubig NAACL 2018, 2017 | 74 | 2017 |
Analyzing privacy policies at scale: From crowdsourcing to automated annotations S Wilson, F Schaub, F Liu, KM Sathyendra, D Smullen, S Zimmeck, ... ACM Transactions on the Web (TWEB) 13 (1), 1-29, 2018 | 71* | 2018 |
Towards automatic classification of privacy policy text F Liu, S Wilson, P Story, S Zimmeck, N Sadeh School of Computer Science Carnegie Mellon University, 2018 | 70 | 2018 |
Differentially-private" draw and discard" machine learning V Pihur, A Korolova, F Liu, S Sankuratripati, M Yung, D Huang, R Zeng arXiv preprint arXiv:1807.04369, 2018 | 60* | 2018 |
First is Better Than Last for Language Data Influence CK Yeh, A Taly, M Sundararajan, F Liu, PK Ravikumar Advances in Neural Information Processing Systems, 2022 | 28* | 2022 |
Leveraging redundancy in attention with reuse transformers S Bhojanapalli, A Chakrabarti, A Veit, M Lukasik, H Jain, F Liu, YW Chang, ... arXiv preprint arXiv:2110.06821, 2021 | 28 | 2021 |
" We Need Structured Output": Towards User-centered Constraints on Large Language Model Output MX Liu, F Liu, AJ Fiannaca, T Koo, L Dixon, M Terry, CJ Cai Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024 | 27 | 2024 |
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive Models F Liu, T Huang, S Lyu, S Shakeri, H Yu, J Li arXiv preprint arXiv:2110.08426, 2021 | 26* | 2021 |