xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics

20 June 2024

Papers citing "xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics"

3 / 3 papers shown

Title
A kinetic-based regularization method for data science applications Abhisek Ganguly Alessandro Gabbana Vybhav Rao Sauro Succi Santosh Ansumali 41 0 0 06 Mar 2025
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 204 498 0 03 May 2023
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions Minghao Wu Abdul Waheed Chiyu Zhang Muhammad Abdul-Mageed Alham Fikri Aji ALM 127 115 0 27 Apr 2023