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
Pradeep DasigiAllen Institute for AI (Ai2)Verified email at allenai.org
Sujian LIPeking Univ.Verified email at pku.edu.cn
Alisa LiuUniversity of WashingtonVerified email at cs.washington.edu
Daniel KhashabiJohns Hopkins UniversityVerified email at jhu.edu
Yeganeh KordiBrown UniversityVerified email at brown.edu
Swaroop MishraSenior Research Scientist, Google DeepMindVerified email at google.com
Hamish IvisonUniversity of WashingtonVerified email at uw.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIVerified email at uci.edu
Matt GardnerScaled CognitionVerified email at scaledcognition.com
Akari AsaiUniversity of WashingtonVerified email at cs.washington.edu
Jungo KasaiToyota Technological Institute at Chicago, Kotoba Technologies, Inc.Verified email at ttic.edu
Dheeru DuaUniversity of California, IrvineVerified email at uci.edu
Valentina PyatkinAllen Institute for AI & University of WashingtonVerified email at allenai.org
Iz BeltagyAllen Institute for Artificial IntelligenceVerified email at beltagy.net
Yushi HuUniversity of WashingtonVerified email at uw.edu
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Nathan LambertResearch Scientist, Allen AIVerified email at allenai.org

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	1636	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	899	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	606*	2022
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ... EMNLP, 2020	383	2020
Self-RAG: Learning to retrieve, generate, and critique through self-reflection A Asai, Z Wu, Y Wang, A Sil, H Hajishirzi ICLR, 2023	364	2023
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	317	2018
Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP, 2019	298	2019
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	246	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	220	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	139	2021
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	137	2023
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	130	2018
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	129	2023
A Two-Stage Parsing Method for Text-Level Discourse Analysis Y Wang, S Li, H Wang ACL, 2017	122	2017
Toward Fast and Accurate Neural Discourse Segmentation Y Wang, S Li, J Yang EMNLP, 2018	107	2018
Olmo: Accelerating the Science of Language Models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... ACL, 2024	87	2024
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, ... NeurIPS 2024 AFM Workshop, 2023	78	2023
Probing Across Time: What Does RoBERTa Know and When? LZ Liu, Y Wang, J Kasai, H Hajishirzi, NA Smith EMNLP Findings, 2021	78	2021
Bag-of-Words as Target for Neural Machine Translation S Ma, X Sun, Y Wang, J Lin ACL, 2018	76	2018
Automated Lay Language Summarization of Biomedical Scientific Reviews Y Guo, W Qiu, Y Wang, T Cohen AAAI, 2021	70	2021

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