Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation

10 August 2021

Papers citing "Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation"

10 / 10 papers shown

Title
Quasi-random Multi-Sample Inference for Large Language Models Aditya Parashar Aditya Vikram Singh Avinash Amballa Jinlin Lai Benjamin Rozonoyer LRM 53 0 0 09 Nov 2024
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation Boxuan Lyu Hidetaka Kamigaito Kotaro Funakoshi Manabu Okumura 36 0 0 17 Jun 2024
Large Language Models for Dysfluency Detection in Stuttered Speech Dominik Wagner Sebastian P. Bayerl Ilja Baumann K. Riedhammer Elmar Nöth Tobias Bocklet 40 3 0 16 Jun 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding Yuu Jinnai Ukyo Honda Tetsuro Morimura Peinan Zhang 21 6 0 10 Jan 2024
Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives Mario Giulianelli Sarenne Wallbridge Raquel Fernández 20 13 0 20 Oct 2023
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation Javier García Gilabert Carlos Escolano Marta R. Costa-jussá CLL MU 14 2 0 19 May 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise Jiaao Chen Aston Zhang Mu Li Alexander J. Smola Diyi Yang DiffM 19 17 0 10 Apr 2023
Searching for Search Errors in Neural Morphological Inflection Martina Forster Clara Meister Ryan Cotterell 14 5 0 16 Feb 2021
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 208 1,202 0 12 Jun 2017
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 6,724 0 26 Sep 2016