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 | 19 | 2024 |
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 | 7 | 2021 |
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 | 4 | 2022 |
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 | 3 | 2024 |
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 | 3 | 2023 |
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 | 3 | 2023 |
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 | 3 | 2023 |
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 | 1 | 2024 |
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 | 1 | 2023 |
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 | 1 | 2022 |
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 |