Yonatan Bitton

According to our database, Yonatan Bitton authored at least 30 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

NL-Eye: Abductive NLI for Images.

Mor Ventura, Michael Toker, Nitay Calderon, Zorik Gekhman, Yonatan Bitton, Roi Reichart

CoRR, 2024

Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models.

Nitzan Bitton Guetta, Aviv Slobodkin, Aviya Maimon, Eliya Habba, Royi Rassin, Yonatan Bitton, Idan Szpektor, Amir Globerson, Yuval Elovici

CoRR, 2024

Contrastive Sequential-Diffusion Learning: An approach to Multi-Scene Instructional Video Synthesis.

Vasco Ramos, Yonatan Bitton, Michal Yarom, Idan Szpektor, João Magalhães

CoRR, 2024

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision.

Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung-Levy

CoRR, 2024

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.

Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham

CoRR, 2024

DataComp-LM: In search of the next generation of training sets for language models.

Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

CoRR, 2024

VideoPhy: Evaluating Physical Commonsense for Video Generation.

Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

CoRR, 2024

TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation.

Hritik Bansal, Yonatan Bitton, Michal Yarom, Idan Szpektor, Aditya Grover, Kai-Wei Chang

CoRR, 2024

DOCCI: Descriptions of Connected and Contrasting Images.

Yasumasa Onoe, Sunayana Rane, Zachary Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, Jason Baldridge

CoRR, 2024

ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies.

Oren Sultan, Yonatan Bitton, Ron Yosef, Dafna Shahaf

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ImageInWords: Unlocking Hyper-Detailed Image Descriptions.

Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment.

Brian Gordon, Yonatan Bitton, Yonatan Shafir, Roopal Garg, Xi Chen, Dani Lischinski, Daniel Cohen-Or, Idan Szpektor

Proceedings of the Computer Vision - ECCV 2024, 2024

VideoCon: Robust Video-Language Alignment via Contrast Captions.

Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains.

Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks.

João Bordalo, Vasco Ramos, Rodrigo Valerio, Diogo Glória-Silva, Yonatan Bitton, Michal Yarom, Idan Szpektor, João Magalhães

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt

CoRR, 2023

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

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

CoRR, 2023

Read, Look or Listen? What's Needed for Solving a Multimodal Dataset.

Netta Madvil, Yonatan Bitton, Roy Schwartz

CoRR, 2023

Transferring Visual Attributes from Natural Language to Verified Image Generation.

Rodrigo Valerio, João Bordalo, Michal Yarom, Yonatan Bitton, Idan Szpektor, João Magalhães

CoRR, 2023

What You See is What You Read? Improving Text-Image Alignment Evaluation.

Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor

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

DataComp: In search of the next generation of multimodal datasets.

Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

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.

Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt

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

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

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

IRFL: Image Recognition of Figurative Language.

Ron Yosef, Yonatan Bitton, Dafna Shahaf

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

q2d: Turning Questions into Dialogs to Teach Models How to Search.

Yonatan Bitton, Shlomi Cohen-Ganor, Ido Hakimi, Yoad Lewenberg, Roee Aharoni, Enav Weinreb

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

VASR: Visual Analogies of Situation Recognition.

Yonatan Bitton, Ron Yosef, Eliyahu Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models.

Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz

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

2021

Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA.

Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Data Efficient Masked Language Modeling for Vision and Language.

Yonatan Bitton, Michael Elhadad, Gabriel Stanovsky, Roy Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Cross-lingual Unified Medical Language System entity linking in online health communities.

Yonatan Bitton, Raphael Cohen, Tamar Schifter, Eitan Bachmat, Michael Elhadad, Noémie Elhadad

J. Am. Medical Informatics Assoc., 2020