Jack Hessel

2.3k citations

28 papers · 768 indexed · 1 hit paper · h-index 10

Impact in

Computer Vision and Pattern Recognition top 2%
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning

Papers in

Artificial Intelligence 17
- Topic Modeling 11
- Natural Language Processing Techniques 10
- Semantic Web and Ontologies 4
- Domain Adaptation and Few-Shot Learning 4
- Sentiment Analysis and Opinion Mining 2
- Speech and dialogue systems 1
Computer Vision and Pattern Recognition 9
- Multimodal Machine Learning Applications 9

Co-authors: Yejin Choi Ronan Le Bras Ari Holtzman Maxwell Forbes Lillian Lee Ximing Lu Liwei Jiang Jena D. Hwang
Journals: Journal of Reproductive Immunology (1 paper)Nature Machine Intelligence (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)arXiv (Cornell University) (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
Partner nations: United States South Korea United Kingdom

In The Last Decade

Jack Hessel

27 papers receiving 746 citations

Hit Papers

align trajectories log scale

CLIPScore: A Reference-free Evaluation Metric for Image Captioning 2021 · 392 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Peers

Countries citing papers authored by Jack Hessel

Since Specialization

Citations

This map shows the geographic impact of Jack Hessel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jack Hessel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Hessel more than expected).

Fields of papers citing papers by Jack Hessel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Hessel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jack Hessel. The network helps show where Jack Hessel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jack Hessel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack Hessel Line = papers co-authored together Jack Hessel links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Investigating machine moral judgement through the Delphi experiment Nature Machine Intelligence ·Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Adeeb A. Bulkhi, Emik Kaneko, Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, А А Ефремова, Malihe Fazilati, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Ana Luísa Nogueira Abumussi	2025	5
2	Selective “Selective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning G. Ramirez, Jack Hessel, Avinash Deshmukh, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu	2024	1
3	UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations Wenting Zhao, Justin Chiu, Jena D. Hwang, Sandrine Petit, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Jiulong Zhang	2024	2
4	How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models Jae-Young Lee, Ximing Lu, Jack Hessel, Sandrine Petit, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel	2024	1
5	Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models U. Arjun, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel	2024	1
6	WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild BRUCE P. STARK, Wenting Zhao, Jack Hessel, Kris Ann Baker, Aaron L. Folkard, Yejin Choi	2024	0
7	Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest Jack Hessel, Ana Marasović, Jena D. Hwang, Lillian Lee, Nfn Kisdiyani, Rowan Zellers, T. L. Gatch, Yejin Choi	2023	16
8	Text encoders bottleneck compositionality in contrastive vision-language models Amita Kamath, Jack Hessel, Kai-Wei Chang	2023	5
9	SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi	2023	37
10	Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi	2023	17
11	NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation Peter West, Ronan Le Bras, R. Boano, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi	2023	2
12	What’s “up” with vision-language models? Investigating their struggle with spatial reasoning Amita Kamath, Jack Hessel, Kai-Wei Chang	2023	6
13	Champagne: Learning Real-world Conversation from Large-Scale Web Videos Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu	2023	3
14	Symbolic Knowledge Distillation: from General Language Models to Commonsense Models Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi	2022	98
15	Reframing Human-AI Collaboration for Generating Free-Text Explanations Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark Riedl, Yejin Choi	2022	60
16	CLIPScore: A Reference-free Evaluation Metric for Image Captioning Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi Hit paper breakdown →	2021	392
17	Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities Proceedings of the International AAAI Conference on Web and Social Media ·Jack Hessel, Chenhao Tan, Lillian Lee	2021	6
18	CLIPScore: A Reference-free Evaluation Metric for Image Captioning arXiv (Cornell University) ·Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi	2021	1
19	Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity arXiv (Cornell University) ·Jack Hessel, Lillian Lee, David Mimno	2017	7
20	Primate mating systems and the evolution of immune response Journal of Reproductive Immunology ·Matthew J. Anderson, Jack Hessel, Alan F. Dixson	2004	21

About Jack Hessel

Jack Hessel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Music, General Social Sciences and Information Systems and Management, having authored 28 papers that have together received 768 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Multimodal Machine Learning Applications (9 papers), Semantic Web and Ontologies (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Misinformation and Its Impacts (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Speech and dialogue systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Artificial Intelligence (416 citations), Computer Graphics and Computer-Aided Design (37 citations), Health Informatics (8 citations) and General Social Sciences (11 citations). Jack Hessel has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Yejin Choi, Ronan Le Bras, Ari Holtzman, Maxwell Forbes, Lillian Lee, Ximing Lu, Liwei Jiang, Jena D. Hwang, Swabha Swayamdipta and Mark Riedl. Their work appears in journals such as Journal of Reproductive Immunology, Nature Machine Intelligence, Proceedings of the International AAAI Conference on Web and Social Media, arXiv (Cornell University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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