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Caoyun Fan
Caoyun Fan
其他姓名范曹耘
在 sjtu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Can large language models serve as rational players in game theory? a systematic analysis
C Fan, J Chen, Y Jin, H He
Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17960 …, 2024
192024
Dependent multi-task learning with causal intervention for image captioning
W Chen, J Tian, C Fan, H He, Y Jin
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
72021
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.
Y Li, J Tian, W Chen, C Fan, H He, Y Jin
Proceedings of the 29th International Conference on Computational …, 2022
42022
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection
C Fan, J Tian, Y Li, H He, Y Jin
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
32024
Chain-of-thought tuning: Masked language models can also think step by step in natural language understanding
C Fan, J Tian, Y Li, W Chen, H He, Y Jin
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
32023
Accurate use of label dependency in multi-label text classification through the lens of causality
C Fan, W Chen, J Tian, Y Li, H He, Y Jin
Applied Intelligence 53 (19), 21841-21857, 2023
32023
Improving the out-of-distribution generalization capability of language models: Counterfactually-augmented data is not enough
C Fan, W Chen, J Tian, Y Li, H He, Y Jin
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Unlock the potential of counterfactually-augmented data in out-of-distribution generalization
C Fan, W Chen, J Tian, Y Li, H He, Y Jin
Expert systems with applications 238, 122066, 2024
12024
MTR: A dataset fusing inductive, deductive, and defeasible reasoning
Y Li, J Tian, C Fan, W Chen, H He, Y Jin
Findings of the Association for Computational Linguistics: ACL 2023, 10078-10089, 2023
12023
Maxgnr: A dynamic weight strategy via maximizing gradient-to-noise ratio for multi-task learning
C Fan, W Chen, J Tian, Y Li, H He, Y Jin
Proceedings of the Asian Conference on Computer Vision, 1178-1193, 2022
12022
Latent constraints on unsupervised text-graph alignment with information asymmetry
J Tian, W Chen, Y Li, C Fan, H He, Y Jin
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13655 …, 2023
2023
Preference-controlled multi-objective reinforcement learning for conditional text generation
W Chen, J Tian, C Fan, Y Li, H He, Y Jin
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12662 …, 2023
2023
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