Yichong Huang

According to our database, Yichong Huang authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Relay Decoding: Concatenating Large Language Models for Machine Translation.

Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bin Qin, Ting Liu

CoRR, 2024

Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.

Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu

CoRR, 2024

SCIR-MT's Submission for WMT24 General Machine Translation Task.

Baohang Li, Zekai Ye, Yichong Huang, Xiaocheng Feng, Bing Qin

Proceedings of the Ninth Conference on Machine Translation, 2024

Aligning Translation-Specific Understanding to General Understanding in Large Language Models.

Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation.

Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations.

Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu

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

Towards Higher Pareto Frontier in Multilingual Machine Translation.

Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin

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

2022

OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation.

Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin

CoRR, 2022

Unifying the Convergences in Multilingual Neural Machine Translation.

Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey.

Yi-Chong Huang, Xia-Chong Feng, Xiao-Cheng Feng, Bing Qin

CoRR, 2021