Analyzing Uncertainty in Neural Machine Translation

28 February 2018

Papers citing "Analyzing Uncertainty in Neural Machine Translation"

50 / 179 papers shown

Title
Calibrating Translation Decoding with Quality Estimation on LLMs Di Wu Yibin Lei Christof Monz 70 0 0 26 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation Xiaofan Zhou Liangjie Huang Pinyang Cheng Wenpen Yin Rui Zhang Wenrui Hao Lu Cheng 21 0 0 01 Apr 2025
Bag of Tricks for Inference-time Computation of LLM Reasoning Fan Liu Wenshuo Chao Naiqiang Tan Hao Liu OffRL LRM 73 3 0 11 Feb 2025
A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions Elisa Negrini Yuxuan Liu Liu Yang Stanley Osher Hayden Schaeffer AI4CE 88 0 0 09 Feb 2025
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence Lukas Schulze Balhorn Kevin Degens Artur M. Schweidtmann AI4CE 66 0 0 30 Nov 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models Mohammad Beigi Sijia Wang Ying Shen Zihao Lin Adithya Kulkarni ... Ming Jin Jin-Hee Cho Dawei Zhou Chang-Tien Lu Lifu Huang 29 1 0 26 Oct 2024
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance Jiwan Hur Dong-Jae Lee Gyojin Han Jaehyun Choi Yunho Jeon Junmo Kim DiffM 30 0 0 17 Oct 2024
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization Yuqing Nie Chong Wang K. Wang Guoai Xu Guosheng Xu Haoyu Wang OffRL 130 1 0 11 Oct 2024
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis Hippolyte Gisserot-Boukhlef Ricardo Rei Emmanuel Malherbe C´eline Hudelot Pierre Colombo Nuno M. Guerreiro 32 2 0 30 Sep 2024
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing? Josef Jon 26 0 0 15 Sep 2024
Understanding Knowledge Drift in LLMs through Misinformation Alina Fastowski Gjergji Kasneci KELM 35 2 0 11 Sep 2024
Language-Informed Beam Search Decoding for Multilingual Machine Translation Yilin Yang Stefan Lee Prasad Tadepalli 25 1 0 11 Aug 2024
mbrs: A Library for Minimum Bayes Risk Decoding Hiroyuki Deguchi Yusuke Sakai Hidetaka Kamigaito Taro Watanabe 42 3 0 08 Aug 2024
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation Boxuan Lyu Hidetaka Kamigaito Kotaro Funakoshi Manabu Okumura 38 0 0 17 Jun 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms Firas Trabelsi David Vilar Mara Finkelstein Markus Freitag 29 6 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 26 4 0 28 May 2024
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network Yuqing Lan Zhenghao Liu Yu Gu Xiaoyuan Yi Xiaohua Li Liner Yang Ge Yu 32 0 0 17 May 2024
Creative Beam Search: LLM-as-a-Judge For Improving Response Generation Giorgio Franceschelli Mirco Musolesi 28 7 0 30 Apr 2024
A Preference-driven Paradigm for Enhanced Translation with Large Language Models D. Zhu Sony Trenous Xiaoyu Shen Dietrich Klakow Bill Byrne Eva Hasler 60 3 0 17 Apr 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation Kyohoon Jin Junho Lee Juhwan Choi Sangmin Song Youngbin Kim 34 0 0 22 Mar 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond Zhiyuan Wang Jinhao Duan Chenxi Yuan Qingyu Chen Tianlong Chen Huaxiu Yao Yue Zhang Ren Wang Kaidi Xu Xiaoshuang Shi UQLM 28 9 0 22 Feb 2024
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity Kaiqu Liang Zixu Zhang J. F. Fisac LLMAG 46 6 0 09 Feb 2024
Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation Víctor M. Sánchez-Cartagena Miquel Espla-Gomis J. A. Pérez-Ortiz F. Sánchez-Martínez 29 4 0 29 Jan 2024
Towards Uncertainty-Aware Language Agent Jiuzhou Han Wray L. Buntine Ehsan Shareghi LLMAG AI4CE 21 4 0 25 Jan 2024
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation Giorgos Vernikos Andrei Popescu-Belis 30 14 0 12 Jan 2024
An approach for mistranslation removal from popular dataset for Indic MT Task Sudhansu Bala Das Leo Raphael Rodrigues Tapas Kumar Mishra Bidyut Kr. Patra 22 1 0 12 Jan 2024
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation Jiaming Luo Colin Cherry George F. Foster 24 4 0 02 Jan 2024
Quality and Quantity of Machine Translation References for Automatic Metrics Vilém Zouhar Ondrej Bojar 70 7 0 02 Jan 2024
Machine Translation Testing via Syntactic Tree Pruning Quanjun Zhang Juan Zhai Chunrong Fang Jiawei Liu Weisong Sun Haichuan Hu Qingyu Wang 23 3 0 01 Jan 2024
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference Miguel Moura Ramos Patrick Fernandes António Farinhas André F. T. Martins ALM 22 14 0 15 Nov 2023
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling Bairu Hou Yujian Liu Kaizhi Qian Jacob Andreas Shiyu Chang Yang Zhang UD UQCV PER 26 48 0 15 Nov 2023
Controlled Randomness Improves the Performance of Transformer Models Tobias Deuβer Cong Zhao Wolfgang Krämer David Leonhard Christian Bauckhage R. Sifa 21 1 0 20 Oct 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 18 7 0 10 Oct 2023
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models Tianjian Li Haoran Xu Philipp Koehn Daniel Khashabi Kenton W. Murray 36 4 0 02 Oct 2023
Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding Rico Sennrich Jannis Vamvas Alireza Mohammadshahi HILM 25 38 0 13 Sep 2023
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models Jinhao Duan Hao-Ran Cheng Shiqi Wang Alex Zavalny Chenan Wang Renjing Xu B. Kailkhura Kaidi Xu 30 31 0 03 Jul 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 26 34 0 05 Jun 2023
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model Yizhe Zhang Jiatao Gu Zhuofeng Wu Shuangfei Zhai J. Susskind Navdeep Jaitly DiffM 30 24 0 05 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration Zhenghua Peng Yuanmao Luo Tianshui Chen Keke Xu Shuangping Huang AI4TS 30 2 0 31 May 2023
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies Shiyue Zhang Shijie Wu Ozan Irsoy Steven Lu Mohit Bansal Mark Dredze David S. Rosenberg 18 9 0 26 May 2023
Utility-Probability Duality of Neural Networks Bojun Huang Fei Yuan UQCV 25 1 0 24 May 2023
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing Zhibin Gou Zhihong Shao Yeyun Gong Yelong Shen Yujiu Yang Nan Duan Weizhu Chen KELM LRM 36 357 0 19 May 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability Mario Giulianelli Joris Baan Wilker Aziz Raquel Fernández Barbara Plank UQLM 35 30 0 19 May 2023
How to Design Translation Prompts for ChatGPT: An Empirical Study Yuan Gao Ruili Wang Feng Hou 11 41 0 05 Apr 2023
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning Rongxiang Weng Qiang Wang Wensen Cheng Changfeng Zhu Min Zhang 14 2 0 20 Mar 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents Daniel D. Johnson Daniel Tarlow Christian J. Walder 21 6 0 01 Mar 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation Lorenz Kuhn Y. Gal Sebastian Farquhar UQLM 35 251 0 19 Feb 2023
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation Xiang Lin Prathyusha Jwalapuram Shafiq R. Joty DiffM 15 0 0 31 Jan 2023
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification Zi Lin J. Liu Jingbo Shang UQLM 17 5 0 26 Jan 2023