Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task.
CoRR, 2023
Accurate, Diverse and Multiple Distractor Generation with Mixture of Experts.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021