55 citations · 56 across the 5 of their papers we have counts for
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cs.CL2024
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences
Hongyi Liu, Qingyun Wang, Payam Karisani +1
Named entity recognition is a key component of Information Extraction (IE), particularly in scientific domains such as biomedicine and chemistry, where large language models (LLMs)…
cs.CL2023★ 55 cited
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
Wenhao Zhu, Hongyi Liu, Qingxiu Dong +5
Large language models (LLMs) have demonstrated remarkable potential in handling multilingual machine translation (MMT). In this paper, we systematically investigate the advantages…
cs.CL2022★ 1 cited
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models
Jingjing Xu, Qingxiu Dong, Hongyi Liu +1
With increasing scale, large language models demonstrate both quantitative improvement and new qualitative capabilities, especially as zero-shot learners, like GPT-3. However, thes…