| 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 | 1295 | 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 | 1227 | 2023 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 956 | 2022 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 272 | 2024 |
| MeanSum : A Neural Model for Unsupervised Multi-Document Abstractive Summarization E Chu, PJ Liu International Conference on Machine Learning, 1223-1232, 2019 | 249 | 2019 |
| Are visual explanations useful? a case study in model-in-the-loop prediction E Chu, D Roy, J Andreas arXiv preprint arXiv:2007.12248, 2020 | 83* | 2020 |
| Audio-visual sentiment analysis for learning emotional arcs in movies E Chu, D Roy 2017 IEEE International Conference on Data Mining (ICDM), 829-834, 2017 | 64 | 2017 |
| Learning Personas from Dialogue with Attentive Memory Networks E Chu, P Vijayaraghavan, D Roy Empirical Methods in Natural Language Processing, 2638–2646, 2018 | 43 | 2018 |
| Language models trained on media diets can predict public opinion E Chu, J Andreas, S Ansolabehere, D Roy arXiv preprint arXiv:2303.16779, 2023 | 26 | 2023 |
| Many-shot in-context learning R Agarwal, A Singh, LM Zhang, B Bohnet, S Chan, A Anand, Z Abbas, ... arXiv preprint arXiv:2404.11018, 2024 | 21 | 2024 |
| Parents’ online school reviews reflect several racial and socioeconomic disparities in K–12 education N Gillani, E Chu, D Beeferman, R Eynon, D Roy AERA Open 7, 2332858421992344, 2021 | 19 | 2021 |
| AI in storytelling: Machines as cocreators E Chu, J Dunn, D Roy, G Sands, R Stevens McKinsey & Company Media & Entertainment, 2017 | 13 | 2017 |
| Games for Fairness and Interpretability E Chu, N Gillani, SP Makini The Web Conference 2020 (WWW ’20), 2020 | 7 | 2020 |
| Family learning coach: engaging families in children’s early literacy learning with computer-supported tools A Hershman, J Nazare, I Sysoev, L Fratamico, J Buitrago, M Soltangheis, ... Proceedings of the 26th International Conference on Computers in Education …, 2018 | 7 | 2018 |
| Learning human beliefs with language models E Chu Massachusetts Institute of Technology, 2022 | 4 | 2022 |
| Evolving evocative 2d views of generated 3d objects E Chu arXiv preprint arXiv:2111.04839, 2021 | 4 | 2021 |
| DAPPER: Learning domain-adapted persona representation using pretrained BERT and external memory P Vijayaraghavan, E Chu, D Roy Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 4 | 2020 |
| Human Atlas: A Tool for Mapping Social Networks M Saveski, E Chu, S Vosoughi, D Roy Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 4 | 2016 |
| Child-coach-parent network for early literacy learning J Nazare, A Hershman, I Sysoev, L Fratamico, J Buitrago, M Soltangheis, ... International Society of the Learning Sciences, Inc.[ISLS]., 2018 | 3 | 2018 |
| Artistic Influence GAN E Chu Advances in Neural Information Processing Systems, Creativity Workshop, 2018 | 1 | 2018 |
