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

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023

17 May 2023

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

39 / 39 papers shown

Title
Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition Yuu Jinnai 80 0 0 22 Oct 2025
Case-Based Decision-Theoretic Decoding with Quality Memories Hiroyuki Deguchi Masaaki Nagata 121 0 0 16 Sep 2025
Semantic-guided Diverse Decoding for Large Language Model Weijie Shi Yue Cui Yaguang Wu J. Fang Shibo Zhang Mengze Li Sirui Han Jia Zhu Jiajie Xu Xiaofang Zhou 156 0 0 30 Jun 2025
Representation Consistency for Accurate and Coherent LLM Answer Aggregation Junqi Jiang Tom Bewley Salim I. Amoukou Francesco Leofante Antonio Rago Saumitra Mishra Francesca Toni 139 1 0 18 Jun 2025
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal TransportAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Yuu Jinnai OT 159 0 0 29 May 2025
Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation José P. Pombal Nuno M. Guerreiro Ricardo Rei André F. T. Martins 345 4 0 11 Mar 2025
Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral António Farinhas Nuno M. Guerreiro Sweta Agrawal Ricardo Rei André F. T. Martins 267 2 0 18 Feb 2025
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion Zhuokun Chen Jinwu Hu Zeshuai Deng Yufeng Wang Bohan Zhuang Zhuliang Yu 297 1 0 02 Dec 2024
Mitigating Metric Bias in Minimum Bayes Risk DecodingConference on Machine Translation (WMT), 2024 Geza Kovacs Daniel Deutsch Markus Freitag 211 13 0 05 Nov 2024
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk DecodingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Hidetaka Kamigaito Hiroyuki Deguchi Yusuke Sakai Katsuhiko Hayashi Taro Watanabe 273 2 0 19 Oct 2024
Better Instruction-Following Through Minimum Bayes RiskInternational Conference on Learning Representations (ICLR), 2024 Ian Wu Patrick Fernandes Amanda Bertsch Seungone Kim Sina Pakazad Graham Neubig 460 15 0 03 Oct 2024
EMTeC: A Corpus of Eye Movements on Machine-Generated TextsBehavior Research Methods (BRM), 2024 Lena S. Bolliger Patrick Haller Isabelle Caroline Rose Cretton D. R. Reich Tannon Kew Lena Ann Jäger 172 5 0 08 Aug 2024
Improving Minimum Bayes Risk Decoding with Multi-Prompt David Heineman Yao Dou Wei Xu 230 11 0 22 Jul 2024
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models Sean Welleck Amanda Bertsch Matthew Finlayson Hailey Schoelkopf Alex Xie Graham Neubig Ilia Kulikov Zaid Harchaoui 326 108 0 24 Jun 2024
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation Boxuan Lyu Hidetaka Kamigaito Kotaro Funakoshi Manabu Okumura 490 0 0 17 Jun 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms Firas Trabelsi David Vilar Mara Finkelstein Markus Freitag 160 13 0 05 Jun 2024
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation Gonccalo R. A. Faria Sweta Agrawal António Farinhas Ricardo Rei José G. C. de Souza André F. T. Martins 157 7 0 28 May 2024
Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts Yuu Jinnai Ukyo Honda 202 2 0 22 May 2024
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation Kamil Guttmann Miko Pokrywka Adrian Charkiewicz Artur Nowakowski 189 9 0 20 May 2024
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration Yi-Chong Huang Xiaocheng Feng Baohang Li Yang Xiang Hui Wang Bing Qin Ting Liu FedML 222 57 0 19 Apr 2024
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment Yuu Jinnai Tetsuro Morimura Kaito Ariu Kenshi Abe 363 3 0 01 Apr 2024
On the True Distribution Approximation of Minimum Bayes-Risk Decoding Atsumoto Ohashi Ukyo Honda Tetsuro Morimura Yuu Jinnai 138 3 0 31 Mar 2024
Centroid-Based Efficient Minimum Bayes Risk Decoding Hiroyuki Deguchi Yusuke Sakai Hidetaka Kamigaito Taro Watanabe Hideki Tanaka Masao Utiyama 131 14 0 17 Feb 2024
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation Jannis Vamvas Rico Sennrich 259 24 0 06 Feb 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors Dennis Ulmer Chrysoula Zerva André F. T. Martins 345 16 0 01 Feb 2024
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality EstimationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Giorgos Vernikos Andrei Popescu-Belis 164 19 0 12 Jan 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk DecodingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Yuu Jinnai Ukyo Honda Tetsuro Morimura Peinan Zhang 209 11 0 10 Jan 2024
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity AnswersAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 G. Yona Roee Aharoni Mor Geva ELM 193 19 0 09 Jan 2024
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding Yuu Jinnai Kaito Ariu 267 13 0 05 Jan 2024
Faster Minimum Bayes Risk Decoding with Confidence-based PruningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Julius Cheng Andreas Vlachos 129 31 0 25 Nov 2023
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Guangyu Yang Jinghong Chen Weizhe Lin Bill Byrne 201 30 0 14 Nov 2023
Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in textIEEE Games Entertainment Media Conference (IEEE GEM), 2023 Isaac Caswell Lisa Wang Isabel Papadimitriou 154 1 0 11 Nov 2023
Model-Based Minimum Bayes Risk Decoding for Text Generation Yuu Jinnai Tetsuro Morimura Ukyo Honda Kaito Ariu Kenshi Abe 219 9 0 09 Nov 2023
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single ModelAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Christian Tomani David Vilar Markus Freitag Colin Cherry Subhajit Naskar Mara Finkelstein Xavier Garcia Daniel Cremers 212 8 0 10 Oct 2023
Closing the Curious Case of Neural Text DegenerationInternational Conference on Learning Representations (ICLR), 2023 Matthew Finlayson John Hewitt Alexander Koller Swabha Swayamdipta Ashish Sabharwal 192 28 0 02 Oct 2023
It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk Amanda Bertsch Alex Xie Graham Neubig Matthew R. Gormley 157 44 0 02 Oct 2023
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding MethodsInternational Conference on Learning Representations (ICLR), 2023 M. Finkelstein Subhajit Naskar Mehdi Mirzazadeh Apurva Shah Markus Freitag 355 35 0 19 Sep 2023
Uncertainty in Natural Language Generation: From Theory to Applications Joris Baan Nico Daheim Evgenia Ilia Dennis Ulmer Haau-Sing Li Raquel Fernández Barbara Plank Rico Sennrich Chrysoula Zerva Wilker Aziz UQLM 432 63 0 28 Jul 2023
DC-MBR: Distributional Cooling for Minimum Bayesian Risk DecodingInternational Conference on Language Resources and Evaluation (LREC), 2022 Jianhao Yan Jin Xu Fandong Meng Jie Zhou Yue Zhang 311 4 0 08 Dec 2022