Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation

17 May 2023

Papers citing "Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation"

8 / 8 papers shown

Title
Better Instruction-Following Through Minimum Bayes Risk Ian Wu Patrick Fernandes Amanda Bertsch Seungone Kim Sina Pakazad Graham Neubig 48 9 0 03 Oct 2024
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation Boxuan Lyu Hidetaka Kamigaito Kotaro Funakoshi Manabu Okumura 40 0 0 17 Jun 2024
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation Kamil Guttmann Miko Pokrywka Adrian Charkiewicz Artur Nowakowski 58 3 0 20 May 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding Yuu Jinnai Ukyo Honda Tetsuro Morimura Peinan Zhang 34 6 0 10 Jan 2024
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers G. Yona Roee Aharoni Mor Geva ELM 44 11 0 09 Jan 2024
Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text Isaac Caswell Lisa Wang Isabel Papadimitriou 26 0 0 11 Nov 2023
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model Christian Tomani David Vilar Markus Freitag Colin Cherry Subhajit Naskar Mara Finkelstein Xavier Garcia Daniel Cremers 26 7 0 10 Oct 2023
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016