Irene Li

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Dragomir RadevProfessor, Computer Science, Yale UniversityAdresă de e-mail confirmată pe yale.edu
Alexander R. FabbriScale AIAdresă de e-mail confirmată pe scale.com
Michihiro YasunagaStanford University; MetaAdresă de e-mail confirmată pe stanford.edu
Rui YangDuke-NUS Medical SchoolAdresă de e-mail confirmată pe duke-nus.edu.sg
Rui ZhangAssistant Professor, Computer Science and Engineering, Penn State UniversityAdresă de e-mail confirmată pe psu.edu
Tao YuAssistant Professor, Computer Science, University of Hong KongAdresă de e-mail confirmată pe cs.hku.hk
Benjamin RosandMachine learning Researcher, Yale UniversityAdresă de e-mail confirmată pe yale.edu
Suyi LiHKUSTAdresă de e-mail confirmată pe connect.ust.hk
Boming YANGThe University of TokyoAdresă de e-mail confirmată pe weblab.t.u-tokyo.ac.jp
Jeremy GoldwasserStatistics PhD Student, UC BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of HealthAdresă de e-mail confirmată pe yale.edu
Qingcheng ZengPhD Student in NLP, Northwestern UniversityAdresă de e-mail confirmată pe u.northwestern.edu
Dairui LiuUCDAdresă de e-mail confirmată pe ucdconnect.ie
Ke Yu HeSinghealthAdresă de e-mail confirmată pe singhealth.com.sg
Harlan KrumholzYale UniversityAdresă de e-mail confirmată pe yale.edu
Ruihai DongUCDAdresă de e-mail confirmată pe ucd.ie
Tianxiao LiNEC Laboratories AmericaAdresă de e-mail confirmată pe nec-labs.com
Yuang JiangYale UniversityAdresă de e-mail confirmată pe yale.edu
Aosong FengPhD student, Yale UniversityAdresă de e-mail confirmată pe yale.edu
Lechao ChengAssociate Professor, Hefei University of TechnologyAdresă de e-mail confirmată pe hfut.edu.cn

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Irene Li

Assistant Professor at University of Tokyo

Adresă de e-mail confirmată pe g.ecc.u-tokyo.ac.jp - Pagina de pornire

Large Language Models Graph Neural Networks BioNLP Medical NLP Text Summarization


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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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