6 citations · 11 across the 12 of their papers we have counts for
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cs.CL2023★ 1 cited
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
Chong Li, Shaonan Wang, Jiajun Zhang +1
Multilingual generative models obtain remarkable cross-lingual in-context learning capabilities through pre-training on large-scale corpora. However, they still exhibit a performan…
cs.CL2023
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning
Chong Li, Shaonan Wang, Yunhao Zhang +2
Transformer-based models, even though achieving super-human performance on several downstream tasks, are often regarded as a black box and used as a whole. It is still unclear what…
cs.CL2023★ 6 cited
BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages
Wen Yang, Chong Li, Jiajun Zhang +1
Large language models (LLMs) demonstrate promising translation performance among various natural languages. However, many LLMs especially the open-sourced ones, such as BLOOM and L…