Yasumasa Onoe

According to our database, Yasumasa Onoe authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Propagating Knowledge Updates to LMs Through Distillation.

Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi

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

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.

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

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

Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models.

Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge.

Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi

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

2022

Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection.

Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Entity Cloze By Date: What LMs Know About Unseen Entities.

Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Intermediate Entity-based Sparse Interpretable Representation Learning.

Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021

Cross-Lingual Fine-Grained Entity Typing.

Nila Selvaraj, Yasumasa Onoe, Greg Durrett

CoRR, 2021

Modeling Fine-Grained Entity Types with Box Embeddings.

Yasumasa Onoe, Michael Boratko, Greg Durrett

CoRR, 2021

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.

Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Modeling Fine-Grained Entity Types with Box Embeddings.

Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett

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

Biomedical Interpretable Entity Representations.

Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Interpretable Entity Representations through Large-Scale Typing.

Yasumasa Onoe, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Fine-Grained Entity Typing for Domain Independent Entity Linking.

Yasumasa Onoe, Greg Durrett

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning to Denoise Distantly-Labeled Data for Entity Typing.

Yasumasa Onoe, Greg Durrett

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

2016

Gated Word-Character Recurrent Language Model.

Yasumasa Miyamoto, Kyunghyun Cho

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016