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Peilin Yu
Peilin Yu
Brown University
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Learning to compose soft prompts for compositional zero-shot learning
P Yu*, NV Nayak*, SH Bach
International Conference on Learning Representations (ICLR) 2023, 2022
83*2022
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
M Lewis*, NV Nayak*, P Yu, Q Yu, J Merullo, E Bach, Stephen H, Pavlick
arXiv preprint arXiv:2212.10537, 2022
512022
DIAG-NRE: A neural pattern diagnosis framework for distantly supervised neural relation extraction
S Zheng, X Han, Y Lin, P Yu, L Chen, L Huang, Z Liu, W Xu
Annual Meeting of the Association for Computational Linguistics (ACL) 2019, 2018
322018
Learning from Multiple Noisy Partial Labelers
P Yu, T Ding, SH Bach
Artificial Intelligence and Statistics (AISTATS) 2022, 2021
242021
Does clip bind concepts
M Lewis, NV Nayak, P Yu, Q Yu, J Merullo, SH Bach, E Pavlick
Probing compositionality in large image models, 2023
72023
Alfred: A System for Prompted Weak Supervision
P Yu, SH Bach
ACL System Demonstration 2023, 2023
62023
A deep pattern diagnosis framework for distant supervision neural relation extraction
S Zheng, P Yu, L Chen, L Huang, W Xu
Proceedings of ACL, 1-11, 2019
32019
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
P Yu*, J Su*, J Zhang, SH Bach
IEEE International Conference on Big Data 2023, 2023
22023
DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction
S Zheng, P Yu, L Chen, L Huang, W Xu
Arxiv Preprint, 2018
2018
Structure Discovery in Prompted Weak Supervision
J Su, P Yu, J Zhang, SH Bach
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Artikelen 1–10