| GPT-4 Technical Report OpenAI https://arxiv.org/abs/2303.08774, 2023 | 23782* | 2023 |
| Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 3685 | 2024 |
| HellaSwag: Can a machine really finish your sentence? R Zellers, A Holtzman, Y Bisk, A Farhadi, Y Choi Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 3562 | 2019 |
| Piqa: Reasoning about physical commonsense in natural language Y Bisk, R Zellers, J Gao, Y Choi Proceedings of the AAAI conference on artificial intelligence 34 (05), 7432-7439, 2020 | 2470 | 2020 |
| Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages A Zadeh, R Zellers, E Pincus, LP Morency IEEE Intelligent Systems 31 (6), 82-88, 2016 | 1561* | 2016 |
| Defending against neural fake news R Zellers, A Holtzman, H Rashkin, Y Bisk, A Farhadi, F Roesner, Y Choi Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019 | 1554 | 2019 |
| Neural motifs: Scene graph parsing with global context R Zellers, M Yatskar, S Thomson, Y Choi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1367 | 2018 |
| From recognition to cognition: Visual commonsense reasoning R Zellers, Y Bisk, A Farhadi, Y Choi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1218 | 2019 |
| Swag: A large-scale adversarial dataset for grounded commonsense inference R Zellers, Y Bisk, R Schwartz, Y Choi Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 961 | 2018 |
| Unified-io: A unified model for vision, language, and multi-modal tasks J Lu, C Clark, R Zellers, R Mottaghi, A Kembhavi arXiv preprint arXiv:2206.08916, 2022 | 563 | 2022 |
| Mauve: Measuring the gap between neural text and human text using divergence frontiers K Pillutla, S Swayamdipta, R Zellers, J Thickstun, S Welleck, Y Choi, ... Advances in Neural Information Processing Systems 34, 4816-4828, 2021 | 488 | 2021 |
| MERLOT: Multimodal Neural Script Knowledge Models R Zellers, X Lu, J Hessel, Y Yu, JS Park, J Cao, A Farhadi, Y Choi Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021 | 483 | 2021 |
| Merlot reserve: Neural script knowledge through vision and language and sound R Zellers, J Lu, X Lu, Y Yu, Y Zhao, M Salehi, A Kusupati, J Hessel, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 332 | 2022 |
| Adversarial filters of dataset biases R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ... International conference on machine learning, 1078-1088, 2020 | 273 | 2020 |
| Neurologic a* esque decoding: Constrained text generation with lookahead heuristics X Lu, S Welleck, P West, L Jiang, J Kasai, D Khashabi, R Le Bras, L Qin, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 213 | 2022 |
| Neurologic decoding:(un) supervised neural text generation with predicate logic constraints X Lu, P West, R Zellers, RL Bras, C Bhagavatula, Y Choi Proceedings of the 2021 Conference of the North American Chapter of the …, 2020 | 200 | 2020 |
| Do androids laugh at electric sheep? humor “understanding” benchmarks from the new yorker caption contest J Hessel, A Marasović, JD Hwang, L Lee, J Da, R Zellers, R Mankoff, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 134 | 2023 |
| PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World R Zellers, A Holtzman, M Peters, R Mottaghi, A Kembhavi, A Farhadi, ... ACL, 2021 | 98 | 2021 |
| Hellaswag: Can a machine really finish your sentence?, 2019 R Zellers, A Holtzman, Y Bisk, A Farhadi, Y Choi URL https://arxiv. org/abs, 20, 1905 | 85 | 1905 |
| The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning J Hessel, JD Hwang, JS Park, R Zellers, C Bhagavatula, A Rohrbach, ... European Conference on Computer Vision, 558-575, 2022 | 63 | 2022 |
Yejin ChoiStanford University / NVIDIAVerified email at stanford.edu
