Jack Hessel

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Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Ximing LuUniversity of WashingtonVerified email at cs.washington.edu
YoungJae YuAllen Institute for AI, Yonsei UniversityVerified email at yonsei.ac.kr
Anas AwadallaUniversity of WashingtonVerified email at cs.washington.edu
Ronan Le BrasAllen Institute for Artificial IntelligenceVerified email at allenai.org
Wanrong ZhuAdobe ResearchVerified email at adobe.com
Rowan ZellersOpenAIVerified email at cs.washington.edu
Prithviraj AmmanabroluAssistant Professor, University of California, San DiegoVerified email at ucsd.edu
Lillian LeeProfessor of Computer Science, Cornell University. Pls see my homepg for data+updates+slides+etcVerified email at cs.cornell.edu
Yonatan BittonResearch Scientist, GoogleVerified email at google.com
Jae Sung (James) ParkUniversity of WashingtonVerified email at cs.washington.edu
Khyathi Raghavi ChanduAllen Institute for AIVerified email at allenai.org
Ludwig SchmidtStanford University and AnthropicVerified email at cs.washington.edu
Peter WestUniversity of WashingtonVerified email at uw.edu
Liwei JiangPhD Student, Paul G. Allen School of Computer Science & Engineering, University of WashingtonVerified email at cs.washington.edu
Samir Yitzhak GadreAnthropicVerified email at anthropic.com
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Mitchell WortsmanAnthropicVerified email at anthropic.com
Ali FarhadiProfessor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Jena D. HwangAllen Institute for AIVerified email at allenai.org

Jack Hessel

samaya.ai

Verified email at samaya.ai

Natural language processing machine learning


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CLIPScore: A reference-free evaluation metric for image captioning J Hessel, A Holtzman, M Forbes, RL Bras, Y Choi EMNLP, 2021	937	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	397*	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	376	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	276	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	232	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	230	2023
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	211*	2022
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	152	2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations S Wiegreffe, J Hessel, S Swayamdipta, M Riedl, Y Choi NAACL, 2022	129	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, 2024	123	2024
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	98	2022
Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features J Hessel, L Lee NAACL, 2019	85	2019
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	84*	2024
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	82	2023
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! J Hessel, L Lee EMNLP, 2020	80	2020
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	78	2016
WildChat: 1M ChatGPT Interaction Logs in the Wild W Zhao, X Ren, J Hessel, C Cardie, Y Choi, Y Deng ICLR, 2024	61	2024
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	60	2023
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	51	2022
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions J Hessel, B Pang, Z Zhu, R Soricut CoNLL, 2019	47	2019

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