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Weijia Shi
Weijia Shi
University of Washington
E-mailová adresa ověřena na: uw.edu - Domovská stránka
Název
Citace
Citace
Rok
REPLUG: Retrieval-augmented black-box language models
W Shi, S Min, M Yasunaga, M Seo, R James, M Lewis, L Zettlemoyer, ...
NAACL 2024, 2023
551*2023
Fine-grained human feedback gives better rewards for language model training
Z Wu, Y Hu, W Shi, N Dziri, A Suhr, P Ammanabrolu, NA Smith, ...
NeurIPS 2023 (Spotlight), 2024
303*2024
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, 2022
2742022
Detecting pretraining data from large language models
W Shi, A Ajith, M Xia, Y Huang, D Liu, T Blevins, D Chen, L Zettlemoyer
ICLR 2024, 2023
2622023
Selective annotation makes language models better few-shot learners
H Su, J Kasai, CH Wu, W Shi, T Wang, J Xin, R Zhang, M Ostendorf, ...
ICLR 2023, 2022
256*2022
RECOMP: Improving retrieval-augmented LMs with context compression and selective augmentation
F Xu, W Shi, E Choi
ICLR 2024, 2024
172*2024
Embedding uncertain knowledge graphs
X Chen, M Chen, W Shi, Y Sun, C Zaniolo
AAAI 2019, 2019
1642019
Trusting your evidence: Hallucinate less with context-aware decoding
W Shi, X Han, M Lewis, Y Tsvetkov, L Zettlemoyer, SW Yih
NAACL 2024, 2023
1622023
Promptcap: Prompt-guided task-aware image captioning
Y Hu, H Hua, Z Yang, W Shi, NA Smith, J Luo
ICCV 2023, 2022
155*2022
Examining gender bias in languages with grammatical gender
P Zhou, W Shi, J Zhao, KH Huang, M Chen, R Cotterell, KW Chang
EMNLP 2019, 2019
150*2019
Retrieval-augmented multimodal language modeling
M Yasunaga, A Aghajanyan, W Shi, R James, J Leskovec, P Liang, ...
ICML 2023, 2022
1462022
Ra-dit: Retrieval-augmented dual instruction tuning
XV Lin, X Chen, M Chen, W Shi, M Lomeli, R James, P Rodriguez, J Kahn, ...
ICLR 2024, 2023
1262023
Do membership inference attacks work on large language models?
M Duan, A Suri, N Mireshghallah, S Min, W Shi, L Zettlemoyer, Y Tsvetkov, ...
COLM 2024, 2024
120*2024
On tractable representations of binary neural networks
W Shi, A Shih, A Darwiche, A Choi
KR 2020, 2020
98*2020
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
S Feng, W Shi, Y Bai, V Balachandran, T He, Y Tsvetkov
ICLR 2024 (Oral), 2023
86*2023
Retrofitting contextualized word embeddings with paraphrases
W Shi, M Chen, P Zhou, KW Chang
EMNLP 2019, 2019
75*2019
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
S Feng, W Shi, Y Wang, W Ding, V Balachandran, Y Tsvetkov
ACL 2024, Area Chair Award (QA track) 🏆 & Outstanding Paper Award 🏆, 2024
712024
Nonparametric masked language modeling
S Min, W Shi, M Lewis, X Chen, W Yih, H Hajishirzi, L Zettlemoyer
ACL 2023, 2022
712022
Silo language models: Isolating legal risk in a nonparametric datastore
S Min, S Gururangan, E Wallace, W Shi, H Hajishirzi, NA Smith, ...
ICLR 2024 (Spotlight), 2023
692023
Scaling expert language models with unsupervised domain discovery
S Gururangan, M Li, M Lewis, W Shi, T Althoff, NA Smith, L Zettlemoyer
arXiv preprint arXiv:2303.14177, 2023
65*2023
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Články 1–20