| Chain-of-thought prompting elicits reasoning in large language models J Wei, X Wang, D Schuurmans, M Bosma, F Xia, E Chi, QV Le, D Zhou Advances in neural information processing systems 35, 24824-24837, 2022 | 12499 | 2022 |
| Emergent abilities of large language models J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ... arXiv preprint arXiv:2206.07682, 2022 | 3637* | 2022 |
| 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 | 3570 | 2023 |
| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... Journal of Machine Learning Research 25 (70), 1-53, 2024 | 3538 | 2024 |
| Crowdsourcing user studies with Mechanical Turk A Kittur, EH Chi, B Suh Proceedings of the SIGCHI conference on human factors in computing systems …, 2008 | 2551 | 2008 |
| Want to be retweeted? large scale analytics on factors impacting retweet in twitter network B Suh, L Hong, P Pirolli, EH Chi 2010 IEEE second international conference on social computing, 177-184, 2010 | 1825 | 2010 |
| Lamda: Language models for dialog applications R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ... arXiv preprint arXiv:2201.08239, 2022 | 1723 | 2022 |
| Self-consistency improves chain of thought reasoning in language models X Wang, J Wei, D Schuurmans, Q Le, E Chi, S Narang, A Chowdhery, ... arXiv preprint arXiv:2203.11171, 2022 | 1448 | 2022 |
| 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 | 1408 | 2024 |
| Least-to-most prompting enables complex reasoning in large language models D Zhou, N Schärli, L Hou, J Wei, N Scales, X Wang, D Schuurmans, C Cui, ... arXiv preprint arXiv:2205.10625, 2022 | 1344 | 2022 |
| The case for learned index structures T Kraska, A Beutel, EH Chi, J Dean, N Polyzotis Proceedings of the 2018 international conference on management of data, 489-504, 2018 | 1284 | 2018 |
| Modeling task relationships in multi-task learning with multi-gate mixture-of-experts J Ma, Z Zhao, X Yi, J Chen, L Hong, EH Chi Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 1261 | 2018 |
| A taxonomy of visualization techniques using the data state reference model EH Chi IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings …, 2000 | 927 | 2000 |
| He says, she says: conflict and coordination in Wikipedia A Kittur, B Suh, BA Pendleton, EH Chi Proceedings of the SIGCHI conference on Human factors in computing systems …, 2007 | 870 | 2007 |
| Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles B Hecht, L Hong, B Suh, EH Chi Proceedings of the SIGCHI conference on human factors in computing systems …, 2011 | 715 | 2011 |
| Power of the few vs. wisdom of the crowd: Wikipedia and the rise of the bourgeoisie A Kittur, E Chi, BA Pendleton, B Suh, T Mytkowicz World wide web 1 (2), 19, 2007 | 660 | 2007 |
| Using information scent to model user information needs and actions and the Web EH Chi, P Pirolli, K Chen, J Pitkow Proceedings of the SIGCHI conference on Human factors in computing systems …, 2001 | 653 | 2001 |
| Challenging big-bench tasks and whether chain-of-thought can solve them M Suzgun, N Scales, N Schärli, S Gehrmann, Y Tay, HW Chung, ... arXiv preprint arXiv:2210.09261, 2022 | 649 | 2022 |
| Short and tweet: experiments on recommending content from information streams J Chen, R Nairn, L Nelson, M Bernstein, E Chi Proceedings of the SIGCHI conference on human factors in computing systems …, 2010 | 598 | 2010 |
| Top-k off-policy correction for a REINFORCE recommender system M Chen, A Beutel, P Covington, S Jain, F Belletti, EH Chi Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 553 | 2019 |
Lichan HongGoogle DeepMindE-mail confirmado em google.com
