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2020 – today
- 2024
[c4]Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin:
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation. LREC/COLING 2024: 7901-7912- [i6]Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. CoRR abs/2401.05072 (2024) - [i5]Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu:
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. CoRR abs/2404.12715 (2024) - [i4]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bin Qin, Ting Liu:
Relay Decoding: Concatenating Large Language Models for Machine Translation. CoRR abs/2405.02933 (2024) - 2023
- [c3]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. ACL (1) 2023: 3802-3818 - [c2]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu:
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. EMNLP (Findings) 2023: 12608-12618 - [i3]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. CoRR abs/2305.15718 (2023) - 2022
- [c1]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
Unifying the Convergences in Multilingual Neural Machine Translation. EMNLP 2022: 6822-6835 - [i2]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation. CoRR abs/2205.01620 (2022) - 2021
- [i1]Yi-Chong Huang, Xia-Chong Feng, Xiao-Cheng Feng, Bing Qin:
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey. CoRR abs/2104.14839 (2021)
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