Jack Hessel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
11
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. | Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi |
| 2025 | ICLR | Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models. | Orion Weller, Benjamin Van Durme, Dawn J. Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel |
| 2025 | NAACL | L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. | Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi |
| 2024 | ACL | OLMo: Accelerating the Science of Language Models. | Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi |
| 2024 | ACL | Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. | Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel |
| 2024 | ACL | Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. | Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu |
| 2024 | ECCV | 🐱 FunQA: Towards Surprising Video Comprehension. | Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu |
| 2024 | EMNLP | Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. | Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu |
| 2024 | EMNLP | WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. | Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi |
| 2024 | EMNLP | How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. | Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel |
| 2024 | ICLR | Tailoring Self-Rationalizers with Multi-Reward Distillation. | Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren |
| 2024 | ICLR | WildChat: 1M ChatGPT Interaction Logs in the Wild. | Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng |
| 2024 | NAACL | UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. | Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr |
| 2023 | ACL | Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. | Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi |
| 2023 | ACL | 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 | CVPR | Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. | Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi |
| 2023 | EMNLP | 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 | EMNLP | Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. | Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu |
| 2023 | EMNLP | Text encoders bottleneck compositionality in contrastive vision-language models. | Amita Kamath, Jack Hessel, Kai-Wei Chang |
| 2023 | EMNLP | What's "up" with vision-language models? Investigating their struggle with spatial reasoning. | Amita Kamath, Jack Hessel, Kai-Wei Chang |
| 2023 | EMNLP | NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. | Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi |
| 2023 | ICCV | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. | Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz |
| 2023 | ICCV | Champagne: Learning Real-world Conversation from Large-Scale Web Videos. | Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu |
| 2023 | ICLR | Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. | Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiant Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi |
| 2022 | CVPR | MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. | Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi |
| 2022 | ECCV | The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. | Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi |
| 2022 | NAACL | Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. | Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi |
| 2022 | NAACL | Reframing Human-AI Collaboration for Generating Free-Text Explanations. | Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi |
| 2022 | NAACL | Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. | Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi |
| 2021 | ACL | How effective is BERT without word ordering? Implications for language understanding and data privacy. | Jack Hessel, Alexandra Schofield |
| 2021 | EMNLP | CLIPScore: A Reference-free Evaluation Metric for Image Captioning. | Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi |
| 2020 | EMNLP | Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! | Jack Hessel, Lillian Lee |
| 2020 | EMNLP | Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube. | Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut |
| 2020 | EMNLP | Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents. | Gregory Yauney, Jack Hessel, David Mimno |
| 2019 | CoNLL | A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. | Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut |
| 2019 | EMNLP | Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents. | Jack Hessel, Lillian Lee, David Mimno |
| 2019 | NAACL | Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features. | Jack Hessel, Lillian Lee |
| 2018 | NAACL | Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets. | Jack Hessel, David M. Mimno, Lillian Lee |
| 2017 | WWW | Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. | Jack Hessel, Lillian Lee, David M. Mimno |
| 2016 | ICWSM | Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities. | Jack Hessel, Chenhao Tan, Lillian Lee |
| 2013 | GECCO | Evolving multicellularity in digital organisms through reproductive altruism. | Jack Hessel, Sherri Goings |