Runzhe Zhan

According to our database, Runzhe Zhan authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model.

Haoyun Xu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao

CoRR, 2024

2023

Obscurity-Quantified Curriculum Learning for Machine Translation Evaluation.

Cuilian Zhang, Derek F. Wong, Eddy Sio Kei Lei, Runzhe Zhan, Lidia S. Chao

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Multi-Level Curriculum Learning for Multi-Turn Dialogue Generation.

Guanhua Chen, Runzhe Zhan, Derek F. Wong, Lidia S. Chao

IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions.

Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F. Wong, Lidia S. Chao

CoRR, 2023

Human-in-the-loop Machine Translation with Large Language Model.

Xinyi Yang, Runzhe Zhan, Derek F. Wong, Junchao Wu, Lidia S. Chao

CoRR, 2023

Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System.

Jingkun Ma, Runzhe Zhan, Derek F. Wong

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization.

Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TransGEC: Improving Grammatical Error Correction with Translationese.

Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge.

Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Variance-Aware Machine Translation Test Sets.

Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Difficulty-Aware Machine Translation Evaluation.

Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation.

Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021