Yasumasa Onoe

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Commonsense Reasoning

Image Inpainting

Diffusion Models

Top Venues

BlackboxNLP@EMNLP

Publications

Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. CoRR (2024)
Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut
ImageInWords: Unlocking Hyper-Detailed Image Descriptions. CoRR (2024)
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
DOCCI: Descriptions of Connected and Contrasting Images. CoRR (2024)
Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR (2024)
Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. CoRR (2023)
Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. ACL (student) (2023)
Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. ACL (1) (2023)
Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. CoRR (2023)
Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi
Propagating Knowledge Updates to LMs Through Distillation. NeurIPS (2023)
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CVPR (2023)
Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi
Propagating Knowledge Updates to LMs Through Distillation. CoRR (2023)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR (2022)
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CoRR (2022)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP (2022)
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
Entity Cloze By Date: What LMs Know About Unseen Entities. CoRR (2022)
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
Entity Cloze By Date: What LMs Know About Unseen Entities. NAACL-HLT (Findings) (2022)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. WWW (Companion Volume) (2022)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. CoRR (2021)
Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
Biomedical Interpretable Entity Representations. CoRR (2021)
Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) (2021)
Yasumasa Onoe, Michael Boratko, Greg Durrett
Modeling Fine-Grained Entity Types with Box Embeddings. CoRR (2021)
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. CoRR (2021)
Nila Selvaraj, Yasumasa Onoe, Greg Durrett
Cross-Lingual Fine-Grained Entity Typing. CoRR (2021)
Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett
Modeling Fine-Grained Entity Types with Box Embeddings. ACL/IJCNLP (1) (2021)
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. NeurIPS Datasets and Benchmarks (2021)
Yasumasa Onoe, Greg Durrett
Fine-Grained Entity Typing for Domain Independent Entity Linking. AAAI (2020)
Yasumasa Onoe, Greg Durrett
Interpretable Entity Representations through Large-Scale Typing. EMNLP (Findings) (2020)
Yasumasa Onoe, Greg Durrett
Interpretable Entity Representations through Large-Scale Typing. CoRR (2020)
Yasumasa Onoe, Greg Durrett
Learning to Denoise Distantly-Labeled Data for Entity Typing. CoRR (2019)
Yasumasa Onoe, Greg Durrett
Learning to Denoise Distantly-Labeled Data for Entity Typing. NAACL-HLT (1) (2019)
Yasumasa Onoe, Greg Durrett
Fine-Grained Entity Typing for Domain Independent Entity Linking. CoRR (2019)