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ORCIDMichihiro Yasunaga
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2020 – today
- 2023
[c28]Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Qian Yang:
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts. AAAI 2023: 14093-14101- [c27]Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung:
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. ACL (Findings) 2023: 7479-7498 - [c26]Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu:
Complex Reasoning in Natural Languag. ACL (tutorial) 2023: 11-20 - [c25]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih:
Retrieval-Augmented Multimodal Language Modeling. ICML 2023: 39755-39769 - [i33]Hamed Nilforoshan, Michael Moor
, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec:
Zero-shot causal learning. CoRR abs/2301.12292 (2023) - [i32]Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
REPLUG: Retrieval-Augmented Black-Box Language Models. CoRR abs/2301.12652 (2023) - [i31]Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang:
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? CoRR abs/2302.06476 (2023) - [i30]Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Qian Yang:
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts. CoRR abs/2302.09155 (2023) - [i29]Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung:
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. CoRR abs/2305.17311 (2023) - [i28]Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec:
Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR abs/2307.15189 (2023) - [i27]Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou:
Large Language Models as Analogical Reasoners. CoRR abs/2310.01714 (2023) - [i26]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-To-Image Models. CoRR abs/2311.04287 (2023) - 2022
- [c24]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LinkBERT: Pretraining Language Models with Document Links. ACL (1) 2022: 8003-8016 - [c23]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [c22]Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models. ICLR 2022 - [c21]Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR 2022 - [c20]Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec:
Deep Bidirectional Language-Knowledge Graph Pretraining. NeurIPS 2022 - [i25]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i24]Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. CoRR abs/2201.08860 (2022) - [i23]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LinkBERT: Pretraining Language Models with Document Links. CoRR abs/2203.15827 (2022) - [i22]Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec:
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. CoRR abs/2205.11501 (2022) - [i21]Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec:
Deep Bidirectional Language-Knowledge Graph Pretraining. CoRR abs/2210.09338 (2022) - [i20]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022) - [i19]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
Retrieval-Augmented Multimodal Language Modeling. CoRR abs/2211.12561 (2022) - 2021
- [c19]Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Sohyeong Kim, Qian Yang:
Automatic Medical Text Simplification: Challenges of Data Quality and Curation. HUMAN@AAAI Fall Symposium 2021 - [c18]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LM-Critic: Language Models for Unsupervised Grammatical Error Correction. EMNLP (1) 2021: 7752-7763 - [c17]Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML 2021: 5637-5664 - [c16]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou:
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. ICML 2021: 8959-8970 - [c15]Michihiro Yasunaga, Percy Liang:
Break-It-Fix-It: Unsupervised Learning for Program Repair. ICML 2021: 11941-11952 - [c14]Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. NAACL-HLT 2021: 535-546 - [i18]Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. CoRR abs/2104.06378 (2021) - [i17]Michihiro Yasunaga, Percy Liang:
Break-It-Fix-It: Unsupervised Learning for Program Repair. CoRR abs/2106.06600 (2021) - [i16]Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LM-Critic: Language Models for Unsupervised Grammatical Error Correction. CoRR abs/2109.06822 (2021) - [i15]Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR abs/2112.05090 (2021) - 2020
- [c13]Michihiro Yasunaga, Percy Liang:
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback. ICML 2020: 10799-10808 - [i14]Michihiro Yasunaga, Percy Liang:
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback. CoRR abs/2005.10636 (2020) - [i13]Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR abs/2012.07421 (2020)
2010 – 2019
- 2019
- [c12]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI 2019: 7386-7393 - [c11]Michihiro Yasunaga, John D. Lafferty:
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. AAAI 2019: 7394-7401 - [c10]Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SParC: Cross-Domain Semantic Parsing in Context. ACL (1) 2019: 4511-4523 - [c9]Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) 2019: 1962-1979 - [c8]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. BIRNDL@SIGIR 2019: 153-166 - [c7]Muthu Kumar Chandrasekaran, Philipp Mayr, Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan:
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). SIGIR 2019: 1441-1443 - [i12]Michihiro Yasunaga, John Lafferty:
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. CoRR abs/1902.06034 (2019) - [i11]Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SParC: Cross-Domain Semantic Parsing in Context. CoRR abs/1906.02285 (2019) - [i10]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. CoRR abs/1907.09854 (2019) - [i9]Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. CoRR abs/1909.00764 (2019) - [i8]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR abs/1909.01716 (2019) - [i7]Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR abs/1909.05378 (2019) - [i6]Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlali, Cesar Caraballo, Shiwani Mahajan, Harlan M. Krumholz, Dragomir R. Radev:
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. CoRR abs/1910.14076 (2019) - 2018
- [c6]Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev:
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. ACL (2) 2018: 102-107 - [c5]Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev:
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task. EMNLP 2018: 1653-1663 - [c4]Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. EMNLP 2018: 3911-3921 - [c3]Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev:
Robust Multilingual Part-of-Speech Tagging via Adversarial Training. NAACL-HLT 2018: 976-986 - [c2]Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. BIRNDL@SIGIR 2018: 74-83 - [i5]Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev:
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. CoRR abs/1805.04893 (2018) - [i4]Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. CoRR abs/1809.08887 (2018) - [i3]Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev:
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task. CoRR abs/1810.05237 (2018) - 2017
- [c1]Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir R. Radev:
Graph-based Neural Multi-Document Summarization. CoNLL 2017: 452-462 - [i2]Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir R. Radev:
Graph-based Neural Multi-Document Summarization. CoRR abs/1706.06681 (2017) - [i1]Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev:
Robust Multilingual Part-of-Speech Tagging via Adversarial Training. CoRR abs/1711.04903 (2017)
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