Xisen Jin

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Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaPreverjeni e-poštni naslov na usc.edu
Dawei YinSenior Director of Search Science at Baidu, Inc.Preverjeni e-poštni naslov na baidu.com
Zhaochun RenLeiden UniversityPreverjeni e-poštni naslov na liacs.leidenuniv.nl
wenqiang leiNational University of SingaporePreverjeni e-poštni naslov na u.nus.edu
Brendan KennedyPacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
Pengxiang ChengBloomberg LPPreverjeni e-poštni naslov na bloomberg.net
Daniel Preotiuc-PietroBloombergPreverjeni e-poštni naslov na bloomberg.net
Francesco BarbieriMetaPreverjeni e-poštni naslov na meta.com
Arka SadhuMetaPreverjeni e-poštni naslov na meta.com
Dejiao ZhangSenior Staff Research Scientist, Figma (Ex-AWS)Preverjeni e-poštni naslov na umich.edu
Zhongyu Wei (魏忠钰)Associate Professor at School of Data Science, Fudan UniversityPreverjeni e-poštni naslov na fudan.edu.cn

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Xisen Jin

University of Southern California

Preverjeni e-poštni naslov na usc.edu - Domača stran

Continual learning Natural Language Processing


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures W Lei, X Jin, MY Kan, Z Ren, X He, D Yin ACL 2018, 1437-1447, 2018	401	2018
Dataless knowledge fusion by merging weights of language models X Jin, X Ren, D Preotiuc-Pietro, P Cheng ICLR 2023, 2023	174	2023
Contextualizing hate speech classifiers with post-hoc explanation B Kennedy, X Jin, AM Davani, M Dehghani, X Ren ACL 2020, 2020	164	2020
Gradient-based editing of memory examples for online task-free continual learning X Jin, A Sadhu, J Du, X Ren NeurIPS 2021, 2021	145*	2021
Lifelong pretraining: Continually adapting language models to emerging corpora X Jin, D Zhang, H Zhu, W Xiao, SW Li, X Wei, A Arnold, X Ren NAACL 2022, 2022	127	2022
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models X Jin, Z Wei, J Du, X Xue, X Ren ICLR 2020, 2019	125	2019
On transferability of bias mitigation effects in language model fine-tuning X Jin, F Barbieri, B Kennedy, AM Davani, L Neves, X Ren NAACL 2021, 2020	80	2020
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation X Jin, W Lei, Z Ren, H Chen, S Liang, Y Zhao, D Yin CIKM 2018, 1403-1412, 2018	61*	2018
Learn continually, generalize rapidly: Lifelong knowledge accumulation for few-shot learning X Jin, BY Lin, M Rostami, X Ren EMNLP 2021 Findings, 2021	45	2021
Refining language models with compositional explanations H Yao, Y Chen, Q Ye, X Jin, X Ren NeurIPS 2021, 8954-8967, 2021	44*	2021
Visually grounded continual learning of compositional phrases X Jin, J Du, A Sadhu, R Nevatia, X Ren EMNLP 2020, 2020	22*	2020
Overcoming catastrophic forgetting in massively multilingual continual learning GI Winata, L Xie, K Radhakrishnan, S Wu, X Jin, P Cheng, M Kulkarni, ... ACL 2023 Findings, 2023	20	2023
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement X Jin, X Ren ICML 2024 Spotlight, 2024	3	2024
Demystifying Language Model Forgetting with Low-Rank Example Associations X Jin, X Ren arXiv preprint arXiv:2406.14026, 2024	1*	2024

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