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SU Hongjin
SU Hongjin
PhD student, The University of Hong Kong
Verified email at cs.hku.hk - Homepage
Title
Cited by
Cited by
Year
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, ...
arXiv preprint arXiv 220901975, 2022
137*2022
One embedder, any task: Instruction-finetuned text embeddings
H Su, W Shi, J Kasai, Y Wang, Y Hu, M Ostendorf, W Yih, NA Smith, ...
arXiv preprint arXiv:2212.09741, 2022
1322022
Taming pre-trained language models with n-gram representations for low-resource domain adaptation
S Diao, R Xu, H Su, Y Jiang, Y Song, T Zhang
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
482021
Openagents: An open platform for language agents in the wild
T Xie, F Zhou, Z Cheng, P Shi, L Weng, Y Liu, TJ Hua, J Zhao, Q Liu, C Liu, ...
arXiv preprint arXiv:2310.10634, 2023
322023
Lemur: Harmonizing natural language and code for language agents
Y Xu, H Su, C Xing, B Mi, Q Liu, W Shi, B Hui, F Zhou, Y Liu, T Xie, ...
arXiv preprint arXiv:2310.06830, 2023
312023
Generative representational instruction tuning
N Muennighoff, H Su, L Wang, N Yang, F Wei, T Yu, A Singh, D Kiela
arXiv preprint arXiv:2402.09906, 2024
172024
ARKS: Active Retrieval in Knowledge Soup for Code Generation
H Su, S Jiang, Y Lai, H Wu, B Shi, C Liu, Q Liu, T Yu
arXiv preprint arXiv:2402.12317, 2024
12024
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Articles 1–7