| 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 | 854 | 2018 |
| 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 | 758 | 2019 |
| 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 | 677 | 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 | 671 | 2018 |
| 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 | 659* | 2016 |
| 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 | 450 | 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 | 356 | 2020 |
| 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 | 216 | 2021 |
| Adversarial filters of dataset biases R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ... International conference on machine learning, 1078-1088, 2020 | 174 | 2020 |
| 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 | 128 | 2021 |
| 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 | 125 | 2022 |
| 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 | 112 | 2022 |
| GPT-4 Technical Report OpenAI https://arxiv.org/abs/2303.08774, 2023 | 111 | 2023 |
| 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 | 75 | 2020 |
| Neurologic a* esque decoding: Constrained text generation with lookahead heuristics X Lu, S Welleck, P West, L Jiang, J Kasai, D Khashabi, RL Bras, L Qin, ... arXiv preprint arXiv:2112.08726, 2021 | 63 | 2021 |
| Zero-shot activity recognition with verb attribute induction R Zellers, Y Choi Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 52 | 2017 |
| 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 | 48 | 2021 |
| TuringAdvice: A Generative and Dynamic Evaluation of Language Use R Zellers, A Holtzman, E Clark, L Qin, A Farhadi, Y Choi Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 29* | 2021 |
| Probing contextual language models for common ground with visual representations G Ilharco, R Zellers, A Farhadi, H Hajishirzi arXiv preprint arXiv:2005.00619, 2020 | 28 | 2020 |
| Connecting the dots between audio and text without parallel data through visual knowledge transfer Y Zhao, J Hessel, Y Yu, X Lu, R Zellers, Y Choi arXiv preprint arXiv:2112.08995, 2021 | 16 | 2021 |
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
