Jack Hessel - RankMe

104 papers A* 22A 1B 1Journal 54Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OpaqueToolsBench: Learning Nuances of Tool Behavior Through Interaction. CoRR Skyler Hallinan, Thejas Venkatesh, Xiang Ren, Sai Praneeth Karimireddy, Ashwin Paranjape, Yuhao Zhang, Jack Hessel
2026	J	`jnl`	Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning. CoRR Amita Kamath, Jack Hessel, Khyathi Chandu Raghavi, Jena D. Hwang, Kai-Wei Chang, Ranjay Krishna
2025	A*	`conf`	CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. ICLR Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi
2025	J	`jnl`	Investigating machine moral judgement through the Delphi experiment. Nat. Mac. Intell. Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T. Liang, Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, Jonathan Borchardt, Taylor Sorensen, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Yejin Choi
2025	—	`conf`	L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. NAACL (System Demonstrations) Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi
2025	J	`jnl`	Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search. CoRR Howard Yen, Ashwin Paranjape, Mengzhou Xia, Thejas Venkatesh, Jack Hessel, Danqi Chen, Yuhao Zhang
2025	A*	`conf`	Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models. ICLR Orion Weller, Benjamin Van Durme, Dawn J. Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel
2024	J	`jnl`	Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. CoRR Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi
2024	—	`conf`	Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. ACL (Findings) Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel
2024	J	`jnl`	Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. CoRR Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel
2024	—	`conf`	How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. EMNLP (Findings) Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
2024	J	`jnl`	How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. CoRR Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
2024	J	`jnl`	L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. CoRR Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi
2024	—	`conf`	OLMo: Accelerating the Science of Language Models. ACL (1) 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	J	`jnl`	OLMo: Accelerating the Science of Language Models. CoRR Dirk Groeneveld, Iz Beltagy, 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	J	`jnl`	Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models. CoRR Orion Weller, Benjamin Van Durme, Dawn J. Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel
2024	—	`conf`	Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. ACL (Findings) Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu
2024	J	`jnl`	Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. CoRR Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu
2024	A*	`conf`	Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. EMNLP Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu
2024	J	`jnl`	Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. CoRR Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu
2024	A*	`conf`	Tailoring Self-Rationalizers with Multi-Reward Distillation. ICLR Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
2024	A*	`conf`	The Art of Saying No: Contextual Noncompliance in Language Models. NeurIPS Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hanna Hajishirzi
2024	J	`jnl`	The Art of Saying No: Contextual Noncompliance in Language Models. CoRR Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
2024	—	`conf`	UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. NAACL-HLT Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr
2024	A*	`conf`	WildChat: 1M ChatGPT Interaction Logs in the Wild. ICLR Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
2024	J	`jnl`	WildChat: 1M ChatGPT Interaction Logs in the Wild. CoRR Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
2024	—	`conf`	WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. EMNLP (System Demonstrations) Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi
2024	J	`jnl`	WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. CoRR Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi
2024	—	`conf`	🐱 FunQA: Towards Surprising Video Comprehension. ECCV (1) Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu
2023	A*	`conf`	Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. ICCV Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz
2023	J	`jnl`	Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. CoRR Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz
2023	J	`jnl`	CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos. CoRR Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu
2023	A*	`conf`	Champagne: Learning Real-world Conversation from Large-Scale Web Videos. ICCV Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu
2023	—	`conf`	Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. ACL (1) Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi
2023	J	`jnl`	FunQA: Towards Surprising Video Comprehension. CoRR Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu
2023	A*	`conf`	Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. CVPR 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	A*	`conf`	How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	J	`jnl`	How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	A*	`conf`	Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. ICLR Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
2023	A*	`conf`	Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
2023	J	`jnl`	Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
2023	J	`jnl`	Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
2023	A*	`conf`	Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
2023	—	`conf`	NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) 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	J	`jnl`	NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR 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	J	`jnl`	OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. CoRR Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Yitzhak Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt
2023	J	`jnl`	Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. CoRR Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu
2023	A*	`conf`	Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. EMNLP Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu
2023	J	`jnl`	Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. CoRR Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu
2023	A*	`conf`	SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. EMNLP 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	—	`conf`	Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. ACL (1) Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi
2023	J	`jnl`	Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. CoRR Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi
2023	J	`jnl`	Tailoring Self-Rationalizers with Multi-Reward Distillation. CoRR Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
2023	J	`jnl`	Text encoders are performance bottlenecks in contrastive vision-language models. CoRR Amita Kamath, Jack Hessel, Kai-Wei Chang
2023	A*	`conf`	Text encoders bottleneck compositionality in contrastive vision-language models. EMNLP Amita Kamath, Jack Hessel, Kai-Wei Chang
2023	J	`jnl`	UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. CoRR Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr
2023	J	`jnl`	VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. CoRR Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
2023	A*	`conf`	VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. NeurIPS Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
2023	A*	`conf`	What's "up" with vision-language models? Investigating their struggle with spatial reasoning. EMNLP Amita Kamath, Jack Hessel, Kai-Wei Chang
2023	J	`jnl`	What's "up" with vision-language models? Investigating their struggle with spatial reasoning. CoRR Amita Kamath, Jack Hessel, Kai-Wei Chang
2022	—	`conf`	Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. NAACL-HLT Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
2022	J	`jnl`	Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. CoRR Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi
2022	J	`jnl`	Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
2022	A*	`conf`	MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022	J	`jnl`	MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022	J	`jnl`	Multimodal Knowledge Alignment with Reinforcement Learning. CoRR Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi
2022	A*	`conf`	QUARK: Controllable Text Generation with Reinforced Unlearning. NeurIPS Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
2022	J	`jnl`	Quark: Controllable Text Generation with Reinforced Unlearning. CoRR Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
2022	—	`conf`	Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL-HLT Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi
2022	J	`jnl`	SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. CoRR Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
2022	—	`conf`	Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. NAACL-HLT Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
2022	—	`conf`	The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. ECCV (36) Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
2022	J	`jnl`	The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. CoRR Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
2021	—	`conf`	CLIPScore: A Reference-free Evaluation Metric for Image Captioning. EMNLP (1) Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
2021	J	`jnl`	CLIPScore: A Reference-free Evaluation Metric for Image Captioning. CoRR Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
2021	J	`jnl`	Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. CoRR Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
2021	—	`conf`	How effective is BERT without word ordering? Implications for language understanding and data privacy. ACL/IJCNLP (2) Jack Hessel, Alexandra Schofield
2021	A*	`conf`	MERLOT: Multimodal Neural Script Knowledge Models. NeurIPS Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
2021	J	`jnl`	MERLOT: Multimodal Neural Script Knowledge Models. CoRR Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
2021	J	`jnl`	Reframing Human-AI Collaboration for Generating Free-Text Explanations. CoRR Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi
2021	J	`jnl`	Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. CoRR Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
2020	—	`conf`	Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube. EMNLP (1) Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut
2020	J	`jnl`	Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube. CoRR Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut
2020	—	`conf`	Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! EMNLP (1) Jack Hessel, Lillian Lee
2020	J	`jnl`	Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! CoRR Jack Hessel, Lillian Lee
2020	—	`conf`	Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents. EMNLP (1) Gregory Yauney, Jack Hessel, David Mimno
2020	J	`jnl`	Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents. CoRR Gregory Yauney, Jack Hessel, David Mimno
2019	B	`conf`	A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. CoNLL Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut
2019	J	`jnl`	A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. CoRR Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut
2019	—	`conf`	Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features. NAACL-HLT (1) Jack Hessel, Lillian Lee
2019	J	`jnl`	Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features. CoRR Jack Hessel, Lillian Lee
2019	J	`jnl`	Unsupervised Discovery of Multimodal Links in Multi-Image, Multi-Sentence Documents. CoRR Jack Hessel, Lillian Lee, David Mimno
2019	—	`conf`	Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents. EMNLP/IJCNLP (1) Jack Hessel, Lillian Lee, David Mimno
2018	—	`conf`	Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets. NAACL-HLT Jack Hessel, David M. Mimno, Lillian Lee
2018	J	`jnl`	Quantifying the visual concreteness of words and topics in multimodal datasets. CoRR Jack Hessel, David M. Mimno, Lillian Lee
2017	A*	`conf`	Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. WWW Jack Hessel, Lillian Lee, David M. Mimno
2017	J	`jnl`	Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. CoRR Jack Hessel, Lillian Lee, David M. Mimno
2016	A	`conf`	Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities. ICWSM Jack Hessel, Chenhao Tan, Lillian Lee
2016	J	`jnl`	Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities. CoRR Jack Hessel, Chenhao Tan, Lillian Lee
2015	—	`conf`	Image Representations and New Domains in Neural Image Captioning. VL@EMNLP Jack Hessel, Nicolas Savva, Michael J. Wilber
2015	J	`jnl`	Image Representations and New Domains in Neural Image Captioning. CoRR Jack Hessel, Nicolas Savva, Michael J. Wilber
2015	J	`jnl`	What do Vegans do in their Spare Time? Latent Interest Detection in Multi-Community Networks. CoRR Jack Hessel, Alexandra Schofield, Lillian Lee, David M. Mimno
2013	—	`conf`	Evolving multicellularity in digital organisms through reproductive altruism. GECCO (Companion) Jack Hessel, Sherri Goings
2013	—	`conf`	Using Reproductive Altruism to Evolve Multicellularity in Digital Organisms. ECAL Jack Hessel, Sherri Goings