Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
A Unified Framework for Contextual and Factoid Question Generation.
IEEE Trans. Knowl. Data Eng., January, 2024
Unbiased curriculum learning enhanced global-local graph neural network for protein thermodynamic stability prediction.
Bioinform., October, 2023
A Survey of Natural Language Generation.
ACM Comput. Surv., 2023
Counterfactual Debiasing for Generating Factually Consistent Text Summaries.
CoRR, 2023
Tunable Soft Prompts are Messengers in Federated Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.
CoRR, 2022
A Benchmark for Federated Hetero-Task Learning.
CoRR, 2022
Cross-perspective Graph Contrastive Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2022
Wasserstein Distance-Based Auto-Encoder Tracking.
Neural Process. Lett., 2021
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Combination of Appearance and License Plate Features for Vehicle Re-Identification.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019