6 citations · 19 across the 6 of their papers we have counts for
6 papers
LLMRec: Benchmarking Large Language Models on Recommendation Task
Junling Liu, Chao Liu, Peilin Zhou +8
Recently, the fast development of Large Language Models (LLMs) such as ChatGPT has significantly advanced NLP tasks by enhancing the capabilities of conversational models. However,…
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages
Atul Kr. Ojha, Chao-Hong Liu, Katharina Kann +3
We present the findings of the LoResMT 2021 shared task which focuses on machine translation (MT) of COVID-19 data for both low-resource spoken and sign languages. The organization…
Multiple Segmentations of Thai Sentences for Neural Machine Translation
Alberto Poncelas, Wichaya Pidchamook, Chao-Hong Liu +2
Thai is a low-resource language, so it is often the case that data is not available in sufficient quantities to train an Neural Machine Translation (NMT) model which perform to a h…
The RGNLP Machine Translation Systems for WAT 2018
Atul Kr. Ojha, Koel Dutta Chowdhury, Chao-Hong Liu +1
This paper presents the system description of Machine Translation (MT) system(s) for Indic Languages Multilingual Task for the 2018 edition of the WAT Shared Task. In our experimen…
Understanding Meanings in Multilingual Customer Feedback
Chao-Hong Liu, Declan Groves, Akira Hayakawa +2
Understanding and being able to react to customer feedback is the most fundamental task in providing good customer service. However, there are two major obstacles for international…
Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts
Siyou Liu, Longyue Wang, Chao-Hong Liu
Although there are increasing and significant ties between China and Portuguese-speaking countries, there is not much parallel corpora in the Chinese-Portuguese language pair. Both…