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Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
Large language models (LLMs) exhibit complementary strengths in various tasks, motivating the research of LLM ensembling. However, …
Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu
Aligning Translation-Specific Understanding to General Understanding in Large Language Models
Although large language models (LLMs) have shown surprising language understanding and generation capabilities, they have yet to gain a …
Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation
Wenshuai Huo, Xiaocheng Feng, Chengpeng Fu, Yichong Huang, Hui Wang, Bing Qin
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations
Unsupervised neural machine translation has recently made remarkable strides, achieving impressive results with the exclusive use of …
Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu
Towards Higher Pareto Frontier in Multilingual Machine Translation
Multilingual neural machine translation has witnessed remarkable progress in recent years. However, the long-tailed distribution of …
Yichong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin
Unifying the Convergences in Multilingual Neural Machine Translation
Although all-in-one-model multilingual neural machine translation (MNMT) has achieved remarkable progress, the convergence …
Yichong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin