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 | 2453 | 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 | 1624 | 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 | 1289 | 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 | 958 | 2024 |
MeanSum : A Neural Model for Unsupervised Multi-Document Abstractive Summarization E Chu, PJ Liu International Conference on Machine Learning, 1223-1232, 2019 | 265 | 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 | 92* | 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 | 73 | 2017 |
Many-shot in-context learning R Agarwal, A Singh, LM Zhang, B Bohnet, L Rosias, S Chan, B Zhang, ... arXiv preprint arXiv:2404.11018, 2024 | 56 | 2024 |
Learning Personas from Dialogue with Attentive Memory Networks E Chu, P Vijayaraghavan, D Roy Empirical Methods in Natural Language Processing, 2638–2646, 2018 | 44 | 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 | 35 | 2023 |
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 | 20 | 2021 |
AI in storytelling: Machines as cocreators E Chu, J Dunn, D Roy, G Sands, R Stevens McKinsey & Company Media & Entertainment, 2017 | 17 | 2017 |
Learning human beliefs with language models E Chu Massachusetts Institute of Technology, 2022 | 8 | 2022 |
Games for Fairness and Interpretability E Chu, N Gillani, SP Makini The Web Conference 2020 (WWW ’20), 2020 | 8 | 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, ... International Conference on Computers in Education, 2018 | 7 | 2018 |
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 | 5 | 2020 |
Evolving evocative 2d views of generated 3d objects E Chu arXiv preprint arXiv:2111.04839, 2021 | 4 | 2021 |
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 |