Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation

20 May 2020

Papers citing "Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation"

38 / 38 papers shown

Title
Quasi-random Multi-Sample Inference for Large Language Models Aditya Parashar Aditya Vikram Singh Avinash Amballa Jinlin Lai Benjamin Rozonoyer LRM 61 0 0 09 Nov 2024
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 43 0 0 17 Jun 2024
Large Language Models for Dysfluency Detection in Stuttered Speech Dominik Wagner Sebastian P. Bayerl Ilja Baumann Korbinian Riedhammer Elmar Nöth Tobias Bocklet 50 4 0 16 Jun 2024
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation Yuqiao Wen Behzad Shayegh Chenyang Huang Yanshuai Cao Lili Mou 58 4 0 29 Feb 2024
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation Jannis Vamvas Rico Sennrich 50 15 0 06 Feb 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
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
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies Shiyue Zhang Shijie Wu Ozan Irsoy Steven Lu Joey Tianyi Zhou Mark Dredze David S. Rosenberg 25 9 0 26 May 2023
Utility-Probability Duality of Neural Networks Bojun Huang Fei Yuan UQCV 35 1 0 24 May 2023
Look-back Decoding for Open-Ended Text Generation Nan Xu Chunting Zhou Asli Celikyilmaz Xuezhe Ma 31 9 0 22 May 2023
Accelerating Transformer Inference for Translation via Parallel Decoding Andrea Santilli Silvio Severino Emilian Postolache Valentino Maiorca Michele Mancusi R. Marin Emanuele Rodolà 41 80 0 17 May 2023
The unreasonable effectiveness of few-shot learning for machine translation Xavier Garcia Yamini Bansal Colin Cherry George F. Foster M. Krikun Fan Feng Melvin Johnson Orhan Firat 38 103 0 02 Feb 2023
MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla Lang Liu John Thickstun Sean Welleck Swabha Swayamdipta Rowan Zellers Sewoong Oh Yejin Choi Zaïd Harchaoui EGVM 40 22 0 30 Dec 2022
A Simple Baseline for Beam Search Reranking Lior Vassertail Omer Levy 26 0 0 17 Dec 2022
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding Jianhao Yan Jin Xu Fandong Meng Jie Zhou Yue Zhang 24 3 0 08 Dec 2022
Best- $k$ Search Algorithm for Neural Text Generation Jiacheng Xu Caiming Xiong Silvio Savarese Yingbo Zhou 37 5 0 22 Nov 2022
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding Mirac Suzgun Luke Melas-Kyriazi Dan Jurafsky 35 43 0 14 Nov 2022
Contrastive Decoding: Open-ended Text Generation as Optimization Xiang Lisa Li Ari Holtzman Daniel Fried Percy Liang Jason Eisner Tatsunori Hashimoto Luke Zettlemoyer M. Lewis 51 329 0 27 Oct 2022
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition Darcey Riley David Chiang 26 5 0 19 Oct 2022
Model Criticism for Long-Form Text Generation Yuntian Deng Volodymyr Kuleshov Alexander M. Rush 46 19 0 16 Oct 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed 34 10 0 02 Sep 2022
Exploiting Pretrained Biochemical Language Models for Targeted Drug Design Gökçe Uludogan Elif Özkirimli K. Ülgen N. Karalı Arzucan Özgür 22 15 0 02 Sep 2022
Quality-Aware Decoding for Neural Machine Translation Patrick Fernandes António Farinhas Ricardo Rei José G. C. de Souza Perez Ogayo Graham Neubig André F. T. Martins 41 57 0 02 May 2022
Natural Language to Code Translation with Execution Freda Shi Daniel Fried Marjan Ghazvininejad Luke Zettlemoyer Sida I. Wang 38 124 0 25 Apr 2022
On the probability-quality paradox in language generation Clara Meister Gian Wiher Tiago Pimentel Ryan Cotterell 36 14 0 31 Mar 2022
On Decoding Strategies for Neural Text Generators Gian Wiher Clara Meister Ryan Cotterell 30 65 0 29 Mar 2022
Integrating Lattice-Free MMI into End-to-End Speech Recognition Jinchuan Tian Jianwei Yu Chao Weng Yuexian Zou Dong Yu 35 8 0 29 Mar 2022
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics Markus Freitag David Grangier Qijun Tan Bowen Liang 33 92 0 17 Nov 2021
Why don't people use character-level machine translation? Jindrich Libovický Helmut Schmid Alexander Fraser 65 28 0 15 Oct 2021
Conditional Poisson Stochastic Beam Search Clara Meister Afra Amini Tim Vieira Ryan Cotterell 24 10 0 22 Sep 2021
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation Ivan Provilkov A. Malinin 25 4 0 13 Sep 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 39 150 0 01 Sep 2021
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation Bryan Eikema Wilker Aziz 28 45 0 10 Aug 2021
Determinantal Beam Search Clara Meister Martina Forster Ryan Cotterell 16 13 0 14 Jun 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers Krishna Pillutla Swabha Swayamdipta Rowan Zellers John Thickstun Sean Welleck Yejin Choi Zaïd Harchaoui 45 343 0 02 Feb 2021
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models Sumanta Bhattacharyya Pedram Rooshenas Subhajit Naskar Simeng Sun Mohit Iyyer Andrew McCallum 37 57 0 20 Sep 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,209 0 12 Jun 2017