| CLIPScore: A reference-free evaluation metric for image captioning J Hessel, A Holtzman, M Forbes, RL Bras, Y Choi EMNLP, 2021 | 1336 | 2021 |
| Openflamingo: An open-source framework for training large autoregressive vision-language models A Awadalla, I Gao, J Gardner, J Hessel, Y Hanafy, W Zhu, K Marathe, ... arXiv preprint arXiv:2308.01390, 2023 | 560* | 2023 |
| MERLOT: Multimodal neural script knowledge models R Zellers, X Lu, J Hessel, Y Yu, JS Park, J Cao, A Farhadi, Y Choi NeurIPS, 2021 | 405 | 2021 |
| Symbolic knowledge distillation: from general language models to commonsense models P West, C Bhagavatula, J Hessel, JD Hwang, L Jiang, RL Bras, X Lu, ... NAACL, 2022 | 330 | 2022 |
| How far can camels go? exploring the state of instruction tuning on open resources Y Wang, H Ivison, P Dasigi, J Hessel, T Khot, K Chandu, D Wadden, ... Advances in Neural Information Processing Systems 36, 74764-74786, 2023 | 314 | 2023 |
| 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 | 273 | 2022 |
| Is reinforcement learning (not) for natural language processing: Benchmarks, baselines, and building blocks for natural language policy optimization R Ramamurthy, P Ammanabrolu, K Brantley, J Hessel, R Sifa, ... arXiv preprint arXiv:2210.01241, 2022 | 251* | 2022 |
| Olmo: Accelerating the science of language models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... arXiv preprint arXiv:2402.00838, 2024 | 227* | 2024 |
| Quark: Controllable Text Generation with Reinforced Unlearning X Lu, S Welleck, J Hessel, L Jiang, L Qin, P West, P Ammanabrolu, Y Choi NeurIPS, 2022 | 201 | 2022 |
| Multimodal c4: An open, billion-scale corpus of images interleaved with text W Zhu, J Hessel, A Awadalla, SY Gadre, J Dodge, A Fang, Y Yu, ... Advances in Neural Information Processing Systems 36, 8958-8974, 2023 | 166 | 2023 |
| WildChat: 1M ChatGPT Interaction Logs in the Wild W Zhao, X Ren, J Hessel, C Cardie, Y Choi, Y Deng ICLR, 2024 | 156 | 2024 |
| Reframing Human-AI Collaboration for Generating Free-Text Explanations S Wiegreffe, J Hessel, S Swayamdipta, M Riedl, Y Choi NAACL, 2022 | 149 | 2022 |
| Soda: Million-scale dialogue distillation with social commonsense contextualization H Kim, J Hessel, L Jiang, P West, X Lu, Y Yu, P Zhou, RL Bras, M Alikhani, ... arXiv preprint arXiv:2212.10465, 2022 | 135 | 2022 |
| Symbolic chain-of-thought distillation: Small models can also" think" step-by-step LH Li, J Hessel, Y Yu, X Ren, KW Chang, Y Choi arXiv preprint arXiv:2306.14050, 2023 | 116 | 2023 |
| Personalized soups: Personalized large language model alignment via post-hoc parameter merging J Jang, S Kim, BY Lin, Y Wang, J Hessel, L Zettlemoyer, H Hajishirzi, ... arXiv preprint arXiv:2310.11564, 2023 | 108 | 2023 |
| Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! J Hessel, L Lee EMNLP, 2020 | 92 | 2020 |
| Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features J Hessel, L Lee NAACL, 2019 | 90 | 2019 |
| Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities J Hessel, C Tan, L Lee The 10th International AAAI Conference on Web and Social Media, 2016 | 84 | 2016 |
| 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, ... arXiv preprint arXiv:2209.06293, 2022 | 80 | 2022 |
| What's "up" with vision-language models? Investigating their struggle with spatial reasoning A Kamath, J Hessel, KW Chang arXiv preprint arXiv:2310.19785, 2023 | 78 | 2023 |
Yejin ChoiStanford University / NVIDIA確認したメール アドレス: stanford.edu