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Shengnan An
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Compositional generalization by learning analytical expressions
Q Liu, S An, JG Lou, B Chen, Z Lin, Y Gao, B Zhou, N Zheng, D Zhang
Advances in Neural Information Processing Systems 33, 11416-11427, 2020
70*2020
Learning algebraic recombination for compositional generalization
C Liu, S An, Z Lin, Q Liu, B Chen, JG Lou, L Wen, N Zheng, D Zhang
arXiv preprint arXiv:2107.06516, 2021
37*2021
Input-tuning: Adapting unfamiliar inputs to frozen pretrained models
S An, Y Li, Z Lin, Q Liu, B Chen, Q Fu, W Chen, N Zheng, JG Lou
arXiv preprint arXiv:2203.03131, 2022
292022
Learning from mistakes makes llm better reasoner
S An, Z Ma, Z Lin, N Zheng, JG Lou, W Chen
arXiv preprint arXiv:2310.20689, 2023
192023
How Do In-Context Examples Affect Compositional Generalization?
S An, Z Lin, Q Fu, B Chen, N Zheng, JG Lou, D Zhang
arXiv preprint arXiv:2305.04835, 2023
162023
A novel and green route for solvothermal synthesis of manganese phthalocyanine crystals
D Li, S Ge, G Sun, Q He, B Huang, G Tian, W Lu, G Li, Y Chen, S An, ...
Dyes and Pigments 113, 200-204, 2015
132015
Skill-based few-shot selection for in-context learning
S An, B Zhou, Z Lin, Q Fu, B Chen, N Zheng, W Chen, JG Lou
arXiv preprint arXiv:2305.14210, 2023
122023
Does deep learning learn to abstract? a systematic probing framework
S An, Z Lin, B Chen, Q Fu, N Zheng, JG Lou
arXiv preprint arXiv:2302.11978, 2023
22023
Compositional API Recommendation for Library-Oriented Code Generation
Z Ma, S An, B Xie, Z Lin
arXiv preprint arXiv:2402.19431, 2024
2024
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