Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation

11 March 2025

Papers citing "Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation"

9 / 9 papers shown

Title
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding Hidetaka Kamigaito Hiroyuki Deguchi Yusuke Sakai Katsuhiko Hayashi Taro Watanabe 96 2 0 19 Oct 2024
Better Instruction-Following Through Minimum Bayes Risk Ian Wu Patrick Fernandes Amanda Bertsch Seungone Kim Sina Pakazad Graham Neubig 125 11 0 03 Oct 2024
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy Brian Thompson Nitika Mathur Daniel Deutsch Huda Khayrallah 61 10 0 15 Sep 2024
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models Seungone Kim Juyoung Suk Shayne Longpre Bill Yuchen Lin Jamin Shin Sean Welleck Graham Neubig Moontae Lee Kyungjae Lee Minjoon Seo MoMe ALM ELM 98 198 0 02 May 2024
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks Duarte M. Alves José P. Pombal Nuno M. Guerreiro Pedro H. Martins Joao Alves ... Patrick Fernandes Sweta Agrawal Pierre Colombo José G. C. de Souza André F.T. Martins LRM 107 152 0 27 Feb 2024
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection Nuno M. Guerreiro Ricardo Rei Daan van Stigt Luísa Coheur Pierre Colombo André F.T. Martins 101 135 0 16 Oct 2023
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation Markus Freitag Behrooz Ghorbani Patrick Fernandes 44 43 0 17 May 2023
What are the best systems? New perspectives on NLP Benchmarking Pierre Colombo Nathan Noiry Ekhine Irurozki Stephan Clémençon 163 41 0 08 Feb 2022
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics Markus Freitag David Grangier Qijun Tan Bowen Liang 99 97 0 17 Nov 2021