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20192025
most citedFrom Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation

11 citations · 21 across the 13 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

"I've Heard of You!": Generate Spoken Named Entity Recognition Data for Unseen Entities

Jiawei Yu, Xiang Geng, Yuang Li +8

Spoken named entity recognition (NER) aims to identify named entities from speech, playing an important role in speech processing. New named entities appear every day, however, ann…

cs.CL2024★ 1 cited

Why Not Transform Chat Large Language Models to Non-English?

Xiang Geng, Ming Zhu, Jiahuan Li +14

The scarcity of non-English data limits the development of non-English large language models (LLMs). Transforming English-centric LLMs to non-English has been identified as an effe…

cs.CL2024★ 11 cited

From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation

Haofei Zhao, Yilun Liu, Shimin Tao +6

Machine Translation Quality Estimation (MTQE) is the task of estimating the quality of machine-translated text in real time without the need for reference translations, which is of…

cs.CL2024★ 1 cited

MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization

Shuaijie She, Wei Zou, Shujian Huang +4

Though reasoning abilities are considered language-agnostic, existing LLMs exhibit inconsistent reasoning abilities across different languages, e.g., reasoning in the dominant lang…

cs.CL2024★ 1 cited

Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation

Xu Huang, Zhirui Zhang, Xiang Geng +3

This study investigates how Large Language Models (LLMs) leverage source and reference data in machine translation evaluation task, aiming to better understand the mechanisms behin…