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

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

12 January 2024

Xu Huang

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

6 / 6 papers shown

Title
An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation Andrea Piergentili Beatrice Savoldi Matteo Negri L. Bentivogli ELM 35 0 0 16 Apr 2025
Generating Medically-Informed Explanations for Depression Detection using LLMs Xiangyong Chen Xiaochuan Lin AI4MH 54 0 0 18 Mar 2025
When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages Archchana Sindhujan Diptesh Kanojia Constantin Orasan Shenbin Qian 33 1 0 08 Jan 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge Dawei Li Bohan Jiang Liangjie Huang Alimohammad Beigi Chengshuai Zhao ... Canyu Chen Tianhao Wu Kai Shu Lu Cheng Huan Liu ELM AILaw 106 61 0 25 Nov 2024
What do Large Language Models Need for Machine Translation Evaluation? Shenbin Qian Archchana Sindhujan Minnie Kabra Diptesh Kanojia Constantin Orasan Tharindu Ranasinghe Frédéric Blain ELM LRM ALM LM&MA 18 0 0 04 Oct 2024
MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators Qingyu Lu Liang Ding Kanjian Zhang Jinxia Zhang Dacheng Tao 22 3 0 22 Sep 2024