Yizhong Wang

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Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Sujian LIPeking Univ.Verified email at pku.edu.cn
Daniel KhashabiJohns Hopkins UniversityVerified email at jhu.edu
Yeganeh KordiBrown UniversityVerified email at brown.edu
Pradeep DasigiAllen Institute for AI (Ai2)Verified email at allenai.org
Alisa LiuUniversity of WashingtonVerified email at cs.washington.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Sameer SinghAssociate Professor, UC IrvineVerified email at uci.edu
Matt GardnerScaled CognitionVerified email at scaledcognition.com
Hamish IvisonUniversity of WashingtonVerified email at uw.edu
Akari AsaiUniversity of WashingtonVerified email at cs.washington.edu
Jungo KasaiToyota Technological Institute at Chicago, Kotoba Technologies, Inc.Verified email at ttic.edu
Swaroop MishraResearch Scientist, Google DeepMindVerified email at google.com
Dheeru DuaUniversity of California, IrvineVerified email at uci.edu
Iz BeltagyAllen Institute for Artificial IntelligenceVerified email at beltagy.net
David WaddenAllen Institute for AIVerified email at allenai.org
Yushi HuUniversity of WashingtonVerified email at uw.edu
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Zeqiu (Ellen) WuUniversity of WashingtonVerified email at uw.edu

Yizhong Wang

University of Washington

Verified email at cs.washington.edu - Homepage

Natural Language Processing Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Self-Instruct: Aligning Language Models with Self-Generated Instructions Y Wang, Y Kordi, S Mishra, A Liu, NA Smith, D Khashabi, H Hajishirzi ACL, 2023	1421	2023
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs D Dua, Y Wang, P Dasigi, G Stanovsky, S Singh, M Gardner NAACL, 2019	861	2019
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Arunkumar, ... EMNLP, 2022	544*	2022
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ... EMNLP, 2020	360	2020
Dureader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications W He, K Liu, J Liu, Y Lyu, S Zhao, X Xiao, Y Liu, Y Wang, H Wu, Q She, ... Workshop on Machine Reading for Question Answering (MRQA), 2018	312	2018
Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP, 2019	287	2019
Self-RAG: Learning to retrieve, generate, and critique through self-reflection A Asai, Z Wu, Y Wang, A Sil, H Hajishirzi ICLR, 2023	236	2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources Y Wang, H Ivison, P Dasigi, J Hessel, T Khot, KR Chandu, D Wadden, ... NeurIPS, 2023	211	2023
One Embedder, Any Task: Instruction-Finetuned Text Embeddings H Su, W Shi, J Kasai, Y Wang, Y Hu, M Ostendorf, W Yih, NA Smith, ... ACL, 2023	193	2023
MultiModalQA: Complex Question Answering over Text, Tables and Images A Talmor, O Yoran, A Catav, D Lahav, Y Wang, A Asai, G Ilharco, ... ICLR, 2021	131	2021
Multi-Passage Machine Reading Comprehension with Cross-passage Answer Verification Y Wang, K Liu, J Liu, W He, Y Lyu, H Wu, S Li, H Wang ACL, 2018	129	2018
A Two-Stage Parsing Method for Text-Level Discourse Analysis Y Wang, S Li, H Wang ACL, 2017	121	2017
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 H Ivison, Y Wang, V Pyatkin, N Lambert, M Peters, P Dasigi, J Jang, ... arXiv preprint arXiv:2311.10702, 2023	108	2023
Tifa: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering Y Hu, B Liu, J Kasai, Y Wang, M Ostendorf, R Krishna, NA Smith ICCV, 2023	104	2023
Toward Fast and Accurate Neural Discourse Segmentation Y Wang, S Li, J Yang EMNLP, 2018	104	2018
Bag-of-Words as Target for Neural Machine Translation S Ma, X Sun, Y Wang, J Lin ACL, 2018	75	2018
Probing Across Time: What Does RoBERTa Know and When? LZ Liu, Y Wang, J Kasai, H Hajishirzi, NA Smith EMNLP Findings, 2021	74	2021
Automated Lay Language Summarization of Biomedical Scientific Reviews Y Guo, W Qiu, Y Wang, T Cohen AAAI, 2021	68	2021
Personalized soups: Personalized large language model alignment via post-hoc parameter merging J Jang, S Kim, BY Lin, Y Wang, J Hessel, L Zettlemoyer, H Hajishirzi, ... arXiv preprint arXiv:2310.11564, 2023	59	2023
Olmo: Accelerating the Science of Language Models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... ACL, 2024	49	2024

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