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Home
📄 Download my bio: link.
🎉 Selected as Featured Presentation
Biography
I am a Research Scientist at Google Research in Tel-Aviv where I work on multimodal consistency.
My research is centered on improving large vision-and-language models. I develop feedback models for text-to-image and text-to-video applications, specifically designed to enhance the alignment of visual outputs with their corresponding textual prompts. Additionally, I work on multimodal factuality, including visual understanding and image or video-to-text evaluation, ensuring that the generated text is factually correct and attributable to trustworthy textual or visual sources.
I completed my PhD in The Hebrew University of Jerusalem, Israel. During my time there, I had the privilege of being advised by Dr. Roy Schwartz and Dr. Gabriel Stanovsky. My PhD talk "Bridging Vision and Language with Data: From Perception to Understanding" 🎬 record is available here. I did my MSc with Prof. Michael Elhadad and Prof. Eitan Bachmat, at the Ben Gurion University.
Download my complete CV: link.📄 Download my bio: link.
Education
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PhD in Computer Science (Vision-and-Language), 2020-2023
The Hebrew University of Jerusalem, Israel
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MSc in Computer Science (Natural Language Processing), Magna cum laude, 2018-2019
Ben Gurion University of the Negev, Israel
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BSc in Computer Science, 2015-2018
Ben Gurion University of the Negev, Israel
Students
I've had the opportunity to collaborate with several MSc and PhD students towards their publication goals:
2. Wenbo (Gordon) Hu (University of California, Los Angeles) 1
3DLLM-Mem4. Aviv Slobodkin (Bar-Ilan University) 1
RefVNLI5. Moran Yanuka (Tel-Aviv University) 1
Bridging the Visual Gap6. Mor Ventura (Technion – Israel Institute of Technology) 1
NL-Eye7. Orr Zohar (Stanford University) 1
Video-STaR11. Oren Sultan (The Hebrew University of Jerusalem) 1
ParallelPARC12. Netta Madvil (The Hebrew University of Jerusalem) 1
Read, Look or Listen?If you’d like to work together on vision-and-language research, send me an email.
Papers by Venue
24 peer-reviewed papers · 2021 – 2025
2022 1
NeurIPS 1
WinoGAViLPublications
Brian Gordon*,
Yonatan Bitton*,
Andreea Marzoca,
Yasumasa Onoe,
Xiao Wang,
Daniel Cohen-Or,
Idan Szpektor
June 2025
arXiv preprint
Wenbo Hu,
Yining Hong,
Yanjun Wang,
Leison Gao,
Zibu Wei,
Xingcheng Yao,
Nanyun Peng,
Yonatan Bitton,
Idan Szpektor,
Kai-Wei Chang
May 2025
NeurIPS 2025 🎉 Best Paper Award at the Foundation Models Meet Embodied Agents Workshop @ CVPR 2025
Aviv Slobodkin,
Hagai Taitelbaum,
Yonatan Bitton,
Brian Gordon,
Michal Sokolik,
Nitzan Bitton Guetta,
Almog Gueta,
Royi Rassin,
Itay Laish,
Dani Lischinski,
Idan Szpektor
April 2025
Findings of EMNLP 2025
Hritik Bansal*,
Clark Peng*,
Yonatan Bitton*,
Roman Goldenberg,
Aditya Grover,
Kai-Wei Chang,
March 2025
arXiv preprint 🎉 Best Paper Award at the Building Physically Plausible World Models Workshop @ ICML 2025
Andreas Steiner,
André Susano Pinto,
Michael Tschannen,
Daniel Keysers,
Xiao Wang,
Yonatan Bitton,
Alexey Gritsenko,
Matthias Minderer,
Anthony Sherbondy,
Shangbang Long,
Siyang Qin,
Reeve Ingle,
Emanuele Bugliarello,
Sahar Kazemzadeh,
Thomas Mesnard,
Ibrahim Alabdulmohsin,
Lucas Beyer,
Xiaohua Zhai
December 2024
arXiv preprint
Moran Yanuka,
Assaf Ben Kish,
Yonatan Bitton,
Idan Szpektor,
Raja Giryes
November 2024
NAACL 2025
Hsin-Ping Huang,
Xinyi Wang,
Yonatan Bitton,
Hagai Taitelbaum,
Gaurav Singh Tomar,
Ming-Wei Chang,
Xuhui Jia,
Kelvin C.K. Chan,
Hexiang Hu,
Yu-Chuan Su,
Ming-Hsuan Yang
October 2024
arXiv preprint
Jeffrey Li,
Alex Fang,
Georgios Smyrnis,
Maor Ivgi,
Matt Jordan,
Samir Gadre,
Hritik Bansal,
Etash 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 Pratt,
Sunny Sanyal,
Gabriel Ilharco,
Giannis Daras,
Kalyani Marathe,
Aaron Gokaslan,
Jieyu Zhang,
Khyathi Chandu,
Thao Nguyen,
Igor Vasiljevic,
Sham 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
June 2024
NeurIPS 2024
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
June 2024
AIES 2024
Nitzan Bitton-Guetta,
Aviv Slobodkin,
Aviya Maimon,
Eliya Habba,
Royi Rassin,
Yonatan Bitton,
Idan Szpektor,
Amir Globerson,
Yuval Elovici
July 2024
NeurIPS 2024, Datasets and Benchmarks
Orr Zohar,
Xiaohan Wang
Yonatan Bitton,
Idan Szpektor,
Serena Yeung-Levy
July 2024
ICLR 2025
Hritik Bansal,
Zongyu Lin,
Tianyi Xie,
Zeshun Zong,
Michal Yarom,
Yonatan Bitton,
Chenfanfu Jiang,
Yizhou Sun,
Kai-Wei Chang,
Aditya Grover
June 2024
ICLR 2025
Hritik Bansal,
Yonatan Bitton,
Michal Yarom,
Idan Szpektor,
Aditya Grover,
Kai-Wei Chang
May 2024
arXiv preprint
Roopal Garg,
Andrea Burns,
Burcu Karagol Ayan,
Yonatan Bitton,
Ceslee Montgomery,
Yasumasa Onoe,
Andrew Bunner,
Ranjay Krishna,
Jason Baldridge,
Radu Soricut
May 2024
EMNLP 2024
Yasumasa Onoe,
Sunayana Rane,
Zachary Berger,
Yonatan Bitton,
Jaemin Cho,
Roopal Garg,
Alexander Ku,
Zarana Parekh,
Jordi Pont-Tuset,
Garrett Tanzer,
et al.
April 2024
ECCV 2024
João Bordalo,
Vasco Ramos,
Rodrigo Valério,
Diogo Glória-Silva,
Yonatan Bitton,
Michal Yarom,
Idan Szpektor,
Joao Magalhaes
May 2024
ACL 2024
Yonatan Bitton*,
Hritik Bansal*,
Jack Hessel*,
Rulin Shao,
Wanrong Zhu,
Anas Awadalla,
Josh Gardner,
Rohan Taori,
Ludwig Schmidt,
Aug 2023
NeurIPS 2023, Datasets and Benchmarks
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 Pratt,
Vivek Ramanujan
Yonatan Bitton
Kalyani Marathe
Stephen Mussmann
Richard Vencu
Mehdi Cherti
Ranjay Krishna
Pang Wei Koh
Olga Saukh
Alexander Ratner
Shuran Song
Hannaneh Hajishirzi
Ali Farhadi
Romain Beaumont
Sewoong Oh
Alex Dimakis
Jenia Jitsev
Yair Carmon
Vaishaal Shankar
Ludwig Schmidt
April 2023
NeurIPS 2023, Datasets and Benchmarks
Anas Awadalla,
Irena Gao,
Joshua Gardner,
Jack Hessel,
Yusuf Hanafy,
Wanrong Zhu,
Kalyani Marathe,
Yonatan Bitton,
Samir Gadre,
Jenia Jitsev,
Simon Kornblith,
Pang Wei Koh,
Gabriel Ilharco,
Mitchell Wortsman,
Ludwig Schmidt
Mar 2023
NeurIPS 2023, Datasets and Benchmarks
Nitzan Bitton-Guetta*,
Yonatan Bitton*,
Jack Hessel,
Ludwig Schmidt,
Yuval Elovici,
Gabriel Stanovsky,
Roy Schwartz
Mar 2023
ICCV 2023
Yonatan Bitton*,
Nitzan Bitton-Guetta*,
Ron Yosef,
Yuval Elovici,
Mohit Bansal,
Gabriel Stanovsky,
Roy Schwartz
Jul 2022
NeurIPS 2022, Datasets and Benchmarks🎉 Selected as Featured Presentation
Work Experience
Senior Research Scientist
Google Research
April 2024 –
Present
Israel
Advancing multimodal consistency. Developing feedback models for text-to-image and text-to-video applications and enhance multimodal factuality to ensure the accuracy of text generated from visual sources.
Research Scientist
Google Research
Jun 2023 –
April 2024
Israel
Focusing on vision-and-language. Recent works include image-text alignment, improving text-to-image models, and visual instruction tuning.
Research Intern
Google Research
Jul 2022 –
Jun 2023
Israel
Cerebra team, Conversational AI, working with LLMs (LaMDA, PaLM, BARD, etc)
Applied Scientist Intern
Amazon Lab126
Oct 2019 – July 2022
Israel
Visual Fitness - Halo team
Developed a virtual fitness trainer, specializing in 2D/3D pose estimation, action recognition, error correction, on-device deployment and more.
Developed a virtual fitness trainer, specializing in 2D/3D pose estimation, action recognition, error correction, on-device deployment and more.
Research Student
IBM Research
Jun 2017 – Oct 2019
Israel
Using data-science and machine-learning methods in order to detect frauds
Invited Talks
Bridging Vision and Language with Data: From Perception to Understanding
April-June 2023
Hebrew University of Jerusalem, NLP-IL Reading Group, Microsoft Israel (MSAI-HIVE team), Meta AI Research Tel-Aviv, Technion, Ben Gurion University, Google Tel-Aviv, Bar-Ilan University, IBM Research (Israel NLP team), Tel Aviv University
My talk 🎬 record is available here.
My talk 🎬 record is available here.
Commonsense Benchmarks for Vision and Language
November 2022
NLP Seminar at Cornell Tech, Google Research Israel, the Hebrew University of Jerusalem
q2d: Turning Questions into Dialogs to Teach Models How to Search
September 2022
Conversational applications with LLMs - Summit in Google Zurich
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models
June 2022
IBM Research Israel
VASR: Visual Analogies of Situation Recognition
May 2022
Computer Vision Seminar at the Hebrew University of Jerusalem
Others
This talk deals with several research related questions. For example findings new research ideas, choose a research topic, staying updated with new research, working with your supervisors, and more.
Yonatan Bitton
Jan 5, 2022
A platform that connects drone pilots with people in need of drone services.
This project participated in Starter - Jump course and won 1st place in the final Demo Day event.
Press coverage: telecomnews, israeldefense, sheva7.
This project participated in Starter - Jump course and won 1st place in the final Demo Day event.
Press coverage: telecomnews, israeldefense, sheva7.
Yonatan Bitton
June, 2018