We stand with Ukraine

We stand with Ukraine

Jack Hessel

Orcid: 0000-0002-4012-8979

According to our database¹, Jack Hessel authored at least 52 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning.

[BibT_eX]

[DOI]

Tejas Srinivasan

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Bill Yuchen Lin

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Khyathi Raghavi Chandu

CoRR, 2024

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects.

[BibT_eX]

[DOI]

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Bill Yuchen Lin

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CoRR, 2024

Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models.

[BibT_eX]

[DOI]

Anthony Sicilia

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Khyathi Raghavi Chandu

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Malihe Alikhani

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CoRR, 2024

OLMo: Accelerating the Science of Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Localized Symbolic Knowledge Distillation for Visual Commonsense Models.

[BibT_eX]

[DOI]

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Khyathi Raghavi Chandu

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CoRR, 2023

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.

[BibT_eX]

[DOI]

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Sanjiban Choudhury

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Xiang Lorraine Li

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CoRR, 2023

Tailoring Self-Rationalizers with Multi-Reward Distillation.

[BibT_eX]

[DOI]

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Skyler Hallinan

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Liunian Harold Li

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CoRR, 2023

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

[BibT_eX]

[DOI]

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Bill Yuchen Lin

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Luke Zettlemoyer

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Hannaneh Hajishirzi

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Prithviraj Ammanabrolu

CoRR, 2023

VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.

[BibT_eX]

[DOI]

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CoRR, 2023

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

[BibT_eX]

[DOI]

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Kalyani Marathe

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Samir Yitzhak Gadre

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Simon Kornblith

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Gabriel Ilharco

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Mitchell Wortsman

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CoRR, 2023

FunQA: Towards Surprising Video Comprehension.

[BibT_eX]

[DOI]

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CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

[BibT_eX]

[DOI]

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Khyathi Raghavi Chandu

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Kelsey MacMillan

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Hannaneh Hajishirzi

CoRR, 2023

Text encoders are performance bottlenecks in contrastive vision-language models.

[BibT_eX]

[DOI]

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CoRR, 2023

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text.

[BibT_eX]

[DOI]

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Samir Yitzhak Gadre

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William Yang Wang

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

[BibT_eX]

[DOI]

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Kelsey MacMillan

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Hannaneh Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Localized Symbolic Knowledge Distillation for Visual Commonsense Models.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization.

[BibT_eX]

[DOI]

Rajkumar Ramamurthy

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Prithviraj Ammanabrolu

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Kianté Brantley

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Christian Bauckhage

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Hannaneh Hajishirzi

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Champagne: Learning Real-world Conversation from Large-Scale Web Videos.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images.

[BibT_eX]

[DOI]

Nitzan Bitton Guetta

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Gabriel Stanovsky

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.

[BibT_eX]

[DOI]

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Taylor Sorensen

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Bill Yuchen Lin

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Ashutosh Baheti

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Chandra Bhagavatula

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

What's "up" with vision-language models? Investigating their struggle with spatial reasoning.

[BibT_eX]

[DOI]

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Text encoders bottleneck compositionality in contrastive vision-language models.

[BibT_eX]

[DOI]

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms.

[BibT_eX]

[DOI]

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.

[BibT_eX]

[DOI]

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Malihe Alikhani

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.

[BibT_eX]

[DOI]

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Prithviraj Ammanabrolu

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step.

[BibT_eX]

[DOI]

Liunian Harold Li

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.

[BibT_eX]

[DOI]

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.

[BibT_eX]

[DOI]

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Malihe Alikhani

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CoRR, 2022

Multimodal Knowledge Alignment with Reinforcement Learning.

[BibT_eX]

[DOI]

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Prithviraj Ammanabrolu

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CoRR, 2022

QUARK: Controllable Text Generation with Reinforced Unlearning.

[BibT_eX]

[DOI]

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Prithviraj Ammanabrolu

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.

[BibT_eX]

[DOI]

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Reframing Human-AI Collaboration for Generating Free-Text Explanations.

[BibT_eX]

[DOI]

Sarah Wiegreffe

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Swabha Swayamdipta

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.

[BibT_eX]

[DOI]

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Chandra Bhagavatula

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning.

[BibT_eX]

[DOI]

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Chandra Bhagavatula

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Proceedings of the Computer Vision - ECCV 2022, 2022

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.

[BibT_eX]

[DOI]

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Mohammadreza Salehi

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Aditya Kusupati

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

MERLOT: Multimodal Neural Script Knowledge Models.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

[BibT_eX]

[DOI]

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

How effective is BERT without word ordering? Implications for language understanding and data privacy.

[BibT_eX]

[DOI]

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Alexandra Schofield

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents.

[BibT_eX]

[DOI]

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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube.

[BibT_eX]

[DOI]

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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!

[BibT_eX]

[DOI]

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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features.

[BibT_eX]

[DOI]

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Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents.

[BibT_eX]

[DOI]

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions.

[BibT_eX]

[DOI]

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Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets.

[BibT_eX]

[DOI]

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Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity.

[BibT_eX]

[DOI]

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Proceedings of the 26th International Conference on World Wide Web, 2017

2016

Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities.

[BibT_eX]

[DOI]

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Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015

What do Vegans do in their Spare Time? Latent Interest Detection in Multi-Community Networks.

[BibT_eX]

[DOI]

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Alexandra Schofield

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CoRR, 2015

Image Representations and New Domains in Neural Image Captioning.

[BibT_eX]

[DOI]

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Michael J. Wilber

Proceedings of the Fourth Workshop on Vision and Language, 2015

2013

Evolving multicellularity in digital organisms through reproductive altruism.

[BibT_eX]

[DOI]

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Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Using Reproductive Altruism to Evolve Multicellularity in Digital Organisms.

[BibT_eX]

[DOI]

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Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

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