| A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions J Wu, S Yang, R Zhan, Y Yuan, DF Wong, LS Chao arXiv preprint arXiv:2310.14724, 2023 | 123 | 2023 |
| Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation R Zhan, X Liu, DF Wong, LS Chao AAAI 2021, 2021 | 54 | 2021 |
| Transgec: Improving grammatical error correction with translationese T Fang, X Liu, DF Wong, R Zhan, L Ding, LS Chao, D Tao, M Zhang Findings of the Association for Computational Linguistics: ACL 2023, 3614-3633, 2023 | 13 | 2023 |
| Human-in-the-loop Machine Translation with Large Language Model X Yang, R Zhan, DF Wong, J Wu, LS Chao MT Summit 2023, 2023 | 9 | 2023 |
| Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge X Liu, Y Wang, DF Wong, R Zhan, L Yu, M Zhang ACL 2023, 15536-15550, 2023 | 7 | 2023 |
| Difficulty-Aware Machine Translation Evaluation R Zhan, X Liu, DF Wong, LS Chao ACL 2021, 2021 | 7 | 2021 |
| Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System J Ma, R Zhan, DF Wong Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 5 | 2023 |
| Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model R Zhan, X Yang, DF Wong, LS Chao, Y Zhang ACL 2024 Findings, 2024 | 3 | 2024 |
| Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization R Zhan, X Liu, DF Wong, C Zhang, LS Chao, M Zhang ACL 2023, 807-820, 2023 | 3 | 2023 |
| Variance-Aware Machine Translation Test Sets R Zhan, X Liu, DF Wong, LS Chao NeurIPS 2021 (Datasets and Benchmarks Track), 2021 | 3 | 2021 |
| DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios J Wu, R Zhan, DF Wong, S Yang, X Yang, Y Yuan, LS Chao arXiv preprint arXiv:2410.23746, 2024 | 2 | 2024 |
| Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore J Wu, R Zhan, DF Wong, S Yang, X Liu, LS Chao, M Zhang arXiv preprint arXiv:2405.04286, 2024 | 2 | 2024 |
| Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model H Xu, R Zhan, DF Wong, LS Chao arXiv preprint arXiv:2403.11621, 2024 | 2 | 2024 |
| Multi-Level Curriculum Learning for Multi-Turn Dialogue Generation G Chen, R Zhan, DF Wong, LS Chao IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 2 | 2023 |
| NovelTrans: System for WMT24 Discourse-Level Literary Translation Y Liu, Y Yao, R Zhan, Y Lin, DF Wong Proceedings of the Ninth Conference on Machine Translation, 980-986, 2024 | 1 | 2024 |
| Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner S Liu, Z Li, X Liu, R Zhan, D Wong, L Chao, M Zhang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning J Ma, R Zhan, DF Wong, Y Li, D Sun, HP Chan, LS Chao arXiv preprint arXiv:2410.22995, 2024 | 1 | 2024 |
| Obscurity-Quantified Curriculum Learning for Machine Translation Evaluation C Zhang, DF Wong, ESK Lei, R Zhan, LS Chao IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 1 | 2023 |
| Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features Y Sun, X Liu, DF Wong, Y Lin, B Li, R Zhan, LS Chao, M Zhang CCF International Conference on Natural Language Processing and Chinese …, 2024 | | 2024 |
| Dynamic curriculum learning for conversation response selection G Chen, R Zhan, DF Wong, LS Chao Knowledge-Based Systems, 111687, 2024 | | 2024 |
Derek F. WongAssociate Professor, Department of Computer and Information Science, University of Macauum.edu.mo의 이메일 확인됨