Articles with public access mandates - Jack HesselLearn more
Available somewhere: 11
CLIPScore: A reference-free evaluation metric for image captioning
J Hessel, A Holtzman, M Forbes, RL Bras, Y Choi
EMNLP, 2021
Mandates: US Department of Defense
MERLOT: Multimodal neural script knowledge models
R Zellers, X Lu, J Hessel, Y Yu, JS Park, J Cao, A Farhadi, Y Choi
NeurIPS, 2021
Mandates: US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US Department of Defense
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
Mandates: US Department of Defense, Natural Sciences and Engineering Research Council …
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
Mandates: US National Science Foundation, US Department of Defense
Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features
J Hessel, L Lee
NAACL, 2019
Mandates: US National Science Foundation
Visit-bench: A dynamic benchmark for evaluating instruction-following vision-and-language models
Y Bitton, H Bansal, J Hessel, R Shao, W Zhu, A Awadalla, J Gardner, ...
Advances in Neural Information Processing Systems 36, 26898-26922, 2023
Mandates: US National Science Foundation, US Department of Defense
The abduction of sherlock holmes: A dataset for visual abductive reasoning
J Hessel, JD Hwang, JS Park, R Zellers, C Bhagavatula, A Rohrbach, ...
ECCV, 2022
Mandates: US Department of Defense
Fusing pre-trained language models with multimodal prompts through reinforcement learning
Y Yu, J Chung, H Yun, J Hessel, JS Park, X Lu, R Zellers, P Ammanabrolu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: US Department of Defense
Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity
J Hessel, L Lee, D Mimno
Proceedings of the 26th International Conference on the World Wide Web, 2017
Mandates: US National Science Foundation
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