Caoyun Fan

Orcid: 0000-0001-7360-3468

According to our database1, Caoyun Fan authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization.
Expert Syst. Appl., March, 2024

Comparable Demonstrations Are Important In In-Context Learning: A Novel Perspective On Demonstration Selection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Accurate use of label dependency in multi-label text classification through the lens of causality.
Appl. Intell., October, 2023

Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough.
Proceedings of the IEEE International Conference on Acoustics, 2023

Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Dependent Multi-Task Learning with Causal Intervention for Image Captioning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021


  Loading...