Irene Li

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Dragomir RadevProfessor, Computer Science, Yale UniversityPreverjeni e-poštni naslov na yale.edu
Alexander R. FabbriScale AIPreverjeni e-poštni naslov na scale.com
Michihiro YasunagaStanford University; MetaPreverjeni e-poštni naslov na stanford.edu
Rui YangDuke-NUS Medical SchoolPreverjeni e-poštni naslov na duke-nus.edu.sg
Rui ZhangAssistant Professor, Computer Science and Engineering, Penn State UniversityPreverjeni e-poštni naslov na psu.edu
Tao YuAssistant Professor, Computer Science, University of Hong KongPreverjeni e-poštni naslov na cs.hku.hk
Benjamin RosandMachine learning Researcher, Yale UniversityPreverjeni e-poštni naslov na yale.edu
Suyi LiHKUSTPreverjeni e-poštni naslov na connect.ust.hk
Boming YANGThe University of TokyoPreverjeni e-poštni naslov na weblab.t.u-tokyo.ac.jp
Jeremy GoldwasserStatistics PhD Student, UC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of HealthPreverjeni e-poštni naslov na yale.edu
Qingcheng ZengPhD Student in NLP, Northwestern UniversityPreverjeni e-poštni naslov na u.northwestern.edu
Dairui LiuUCDPreverjeni e-poštni naslov na ucdconnect.ie
Ke Yu HeSinghealthPreverjeni e-poštni naslov na singhealth.com.sg
Harlan KrumholzYale UniversityPreverjeni e-poštni naslov na yale.edu
Ruihai DongUCDPreverjeni e-poštni naslov na ucd.ie
Tianxiao LiNEC Laboratories AmericaPreverjeni e-poštni naslov na nec-labs.com
Yuang JiangYale UniversityPreverjeni e-poštni naslov na yale.edu
Aosong FengPhD student, Yale UniversityPreverjeni e-poštni naslov na yale.edu
Lechao ChengAssociate Professor, Hefei University of TechnologyPreverjeni e-poštni naslov na hfut.edu.cn

Spremljaj

Irene Li

Assistant Professor at University of Tokyo

Preverjeni e-poštni naslov na g.ecc.u-tokyo.ac.jp - Domača stran

Large Language Models Graph Neural Networks BioNLP Medical NLP Text Summarization


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task T Yu, R Zhang, K Yang, M Yasunaga, D Wang, Z Li, J Ma, I Li, Q Yao, ... arXiv preprint arXiv:1809.08887, 2018	1277	2018
Multi-news: a large-scale multi-document summarization dataset and abstractive hierarchical model AR Fabbri, I Li, T She, S Li, DR Radev ACL 2019, 2019	614	2019
Medical Text Classification Using Convolutional Neural Networks M Hughes, I Li, S Kotoulas Informatics for Health, 2017	316	2017
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks M Yasunaga, K Jungo, Z Rui, F Alexander, L Irene, D Friedman, ... AAAI 2019, 2019	244	2019
Neural natural language processing for unstructured data in electronic health records: a review I Li, J Pan, J Goldwasser, N Verma, WP Wong, MY Nuzumlalı, B Rosand, ... Computer Science Review 46, 100511, 2022	186	2022
Sparc: Cross-domain semantic parsing in context T Yu, R Zhang, M Yasunaga, YC Tan, XV Lin, S Li, H Er, I Li, B Pang, ... arXiv preprint arXiv:1906.02285, 2019	117	2019
What are we depressed about when we talk about covid19: Mental health analysis on tweets using natural language processing I Li, Y Li, T Li, S Alvarez-Napagao, G Garcia-Gasulla, T Suzumura Fortieth SGAI International Conference on Artificial Intelligence 2020, 2020	76	2020
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning I Li, A Fabbri, R Tung, D Radev AAAI 2019, 2019	63	2019
Tutorialbank: A manually-collected corpus for prerequisite chains, survey extraction and resource recommendation AR Fabbri, I Li, P Trairatvorakul, Y He, WT Ting, R Tung, C Westerfield, ... ACL 2018, 2018	53	2018
Kg-rank: Enhancing large language models for medical qa with knowledge graphs and ranking techniques R Yang, H Liu, E Marrese-Taylor, Q Zeng, YH Ke, W Li, L Cheng, Q Chen, ... BioNLP 2024, 2024	41*	2024
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation I Li, M Yasunaga, MY Nuzumlalı, C Caraballo, S Mahajan, H Krumholz, ... Machine Learning for Health Workshop, NeurIPS 2019, 2019	37	2019
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning I Li, A Fabbri, S Hingmire, D Radev COLING 2020, 2020	33	2020
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations B Yang, D Liu, T Suzumura, R Dong, I Li In Proceedings of the 17th ACM Conference on Recommender Systems (RecSys '23), 2023	23	2023
Ascle—a Python natural language processing toolkit for medical text generation: development and evaluation study R Yang, Q Zeng, K You, Y Qiao, L Huang, CC Hsieh, B Rosand, ... Journal of Medical Internet Research 26, e60601, 2024	17*	2024
Diffuser: efficient transformers with multi-hop attention diffusion for long sequences A Feng, I Li, Y Jiang, R Ying Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12772 …, 2023	17	2023
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders I Li, V Yan, T Li, R Qu, D Radev ACL 2021, 2021	17	2021
Evaluating large language models on Wikipedia-style survey generation F Gao, H Jiang, R Yang, Q Zeng, J Lu, M Blum, T She, Y Jiang, I Li Findings of the Association for Computational Linguistics ACL 2024, 5405-5418, 2024	16*	2024
RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models D Liu, B Yang, H Du, D Greene, N Hurley, A Lawlor, R Dong, I Li Proceedings of the 33rd ACM International Conference on Information and …, 2024	12*	2024
Graphusion: Leveraging large language models for scientific knowledge graph fusion and construction in nlp education R Yang, B Yang, S Ouyang, T She, A Feng, Y Jiang, F Lecue, J Lu, I Li NLP4KGC workshop, WWW 2025, 2025	11*	2025
Nlpbench: Evaluating large language models on solving nlp problems L Song, J Zhang, L Cheng, P Zhou, T Zhou, I Li arXiv preprint arXiv:2309.15630, 2023	10	2023

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