| 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 | 7741 | 2022 |
| 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 | 2582 | 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 | 2528 | 2008 |
| 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 | 2206 | 2022 |
| 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 | 1731 | 2010 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1611 | 2023 |
| 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 | 1424 | 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 | 1172 | 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 | 1063 | 2018 |
| 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 | 956 | 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 | 922 | 2022 |
| A taxonomy of visualization techniques using the data state reference model EH Chi IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings …, 2000 | 919 | 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 | 875 | 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 | 708 | 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 | 662 | 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 | 657 | 2001 |
| 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 | 593 | 2010 |
| System and Method for clustering data objects in a collection H Schuetze, PL Pirolli, JE Pitkow, EH Chi, J Li US Patent 6,598,054, 2003 | 523 | 2003 |
| 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 | 516 | 2019 |
| Data decisions and theoretical implications when adversarially learning fair representations A Beutel, J Chen, Z Zhao, EH Chi arXiv preprint arXiv:1707.00075, 2017 | 503 | 2017 |
Lichan HongGoogle DeepMindVerified email at google.com
