Calibration of Encoder Decoder Models for Neural Machine Translation

3 March 2019

Papers citing "Calibration of Encoder Decoder Models for Neural Machine Translation"

50 / 79 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
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey Xiaoou Liu Tiejin Chen Longchao Da Chacha Chen Zhen Lin Hua Wei HILM 64 3 0 20 Mar 2025
PostHoc FREE Calibrating on Kolmogorov Arnold Networks Wenhao Liang W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen 64 0 0 03 Mar 2025
Optimizing Temperature for Language Models with Multi-Sample Inference Weihua Du Yiming Yang Sean Welleck 60 2 0 07 Feb 2025
Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Ashwin Ramachandran Sunita Sarawagi 66 2 0 23 Nov 2024
Calibrating Deep Neural Network using Euclidean Distance Wenhao Liang Chang Dong L. Zheng Zhengyang Li W. Zhang Weitong Chen UQCV 18 2 0 23 Oct 2024
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition Jiyeon Kim Hyunji Lee Hyowon Cho Joel Jang Hyeonbin Hwang Seungpil Won Youbin Ahn Dohaeng Lee Minjoon Seo KELM 93 3 0 02 Oct 2024
Detecting Temporal Ambiguity in Questions Bhawna Piryani Abdelrahman Abdallah Jamshid Mozafari Adam Jatowt 31 0 0 25 Sep 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin Jannik Kossen Yarin Gal Pekka Marttinen UQCV 53 23 0 30 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 44 3 0 24 May 2024
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training Tareen Dawood B. Ruijsink Reza Razavi Andrew P. King Esther Puyol-Antón UQCV 45 1 0 10 May 2024
Predict the Next Word: Humans exhibit uncertainty in this task and language models _____ Evgenia Ilia Wilker Aziz 29 2 0 27 Feb 2024
On the Calibration of Large Language Models and Alignment Chiwei Zhu Benfeng Xu Quan Wang Yongdong Zhang Zhendong Mao 71 32 0 22 Nov 2023
A Survey of Confidence Estimation and Calibration in Large Language Models Jiahui Geng Fengyu Cai Yuxia Wang Heinz Koeppl Preslav Nakov Iryna Gurevych UQCV 41 54 0 14 Nov 2023
CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training Mengge Liu Wen Zhang Xiang Li Yanzhi Tian Yuhang Guo Jian Luan 000 Bin Wang Shuoying Chen 23 1 0 07 Nov 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images Tareen Dawood C. L. P. Chen B. Sidhu B. Ruijsink J. Gould ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King OOD 22 10 0 29 Aug 2023
RCMHA: Relative Convolutional Multi-Head Attention for Natural Language Modelling Herman Sugiharto Aradea H. Mubarok 14 0 0 07 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 31 36 0 02 Aug 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 29 40 0 28 Jul 2023
When to Read Documents or QA History: On Unified and Selective Open-domain QA Kyungjae Lee Sanghyun Han Seung-won Hwang Moontae Lee RALM 19 4 0 07 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
Selectively Answering Ambiguous Questions Jeremy R. Cole Michael J.Q. Zhang D. Gillick Julian Martin Eisenschlos Bhuwan Dhingra Jacob Eisenstein UQLM 18 26 0 24 May 2023
Simple Token-Level Confidence Improves Caption Correctness Suzanne Petryk Spencer Whitehead Joseph E. Gonzalez Trevor Darrell Anna Rohrbach Marcus Rohrbach 28 7 0 11 May 2023
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes Yassir Fathullah Puria Radmard Adian Liusie Mark J. F. Gales OODD 24 1 0 09 May 2023
A Survey on Out-of-Distribution Detection in NLP Hao Lang Yinhe Zheng Yixuan Li Jian Sun Feiling Huang Yongbin Li 24 20 0 05 May 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning Maohao Shen S. Ghosh P. Sattigeri Subhro Das Yuheng Bu G. Wornell VLM 46 10 0 30 Apr 2023
Neural Keyphrase Generation: Analysis and Evaluation Tuhin Kundu Jishnu Ray Chowdhury Cornelia Caragea 31 0 0 27 Apr 2023
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model Shuangping Huang Y. Luo Zhenzhou Zhuang Jin-Gang Yu Mengchao He Yongpan Wang 35 8 0 13 Mar 2023
Extracting Victim Counts from Text Mian Zhong S. Dhuliawala Niklas Stoehr 16 5 0 23 Feb 2023
Learning to Reject with a Fixed Predictor: Application to Decontextualization Christopher Mohri D. Andor Eunsol Choi Michael Collins BDL 28 22 0 22 Jan 2023
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding Jianhao Yan Jin Xu Fandong Meng Jie Zhou Yue Zhang 16 3 0 08 Dec 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 75 2 0 18 Nov 2022
Calibrated Interpretation: Confidence Estimation in Semantic Parsing Elias Stengel-Eskin Benjamin Van Durme UQLM 39 24 0 14 Nov 2022
WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation Binbin Xie Xiangpeng Wei Baosong Yang Huan Lin Jun Xie Xiao-Ling Wang M. Zhang Jinsong Su 15 14 0 13 Nov 2022
Are Deep Sequence Classifiers Good at Non-Trivial Generalization? Francesco Cazzaro A. Quattoni X. Carreras MQ 24 0 0 24 Oct 2022
Hard Gate Knowledge Distillation -- Leverage Calibration for Robust and Reliable Language Model Dongkyu Lee Zhiliang Tian Ying Zhao Ka Chun Cheung N. Zhang 28 3 0 22 Oct 2022
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation Nuno M. Guerreiro Elena Voita André F. T. Martins HILM 19 52 0 10 Aug 2022
Robust Calibration with Multi-domain Temperature Scaling Yaodong Yu Stephen Bates Yi-An Ma Michael I. Jordan OOD UQCV 18 33 0 06 Jun 2022
Automated Crossword Solving Eric Wallace Nicholas Tomlin Albert Xu Kevin Kaichuang Yang Eshaan Pathak Matthew Ginsberg Dan Klein 45 12 0 19 May 2022
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES Felix Stahlberg Shankar Kumar UQLM 11 12 0 02 May 2022
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models Felix Stahlberg Ilia Kulikov Shankar Kumar UQLM 25 9 0 01 Apr 2022
BRIO: Bringing Order to Abstractive Summarization Yixin Liu Pengfei Liu Dragomir R. Radev Graham Neubig 15 277 0 31 Mar 2022
Learning Confidence for Transformer-based Neural Machine Translation Yu Lu Jiali Zeng Jiajun Zhang Shuangzhi Wu Mu Li 36 9 0 22 Mar 2022
Calibration of Machine Reading Systems at Scale S. Dhuliawala Leonard Adolphs Rajarshi Das Mrinmaya Sachan 25 11 0 20 Mar 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency Seohong Park Cornelia Caragea UQCV 6 34 0 14 Mar 2022
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov Shachi Deshpande UQCV BDL 30 33 0 14 Dec 2021
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation Ivan Provilkov A. Malinin 14 4 0 13 Sep 2021
$k$ Folden: $k$ -Fold Ensemble for Out-Of-Distribution Detection Xiaoya Li Jiwei Li Xiaofei Sun Chun Fan Tianwei Zhang Fei Wu Yuxian Meng Jun Zhang FedML OODD 18 13 0 29 Aug 2021
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation Bryan Eikema Wilker Aziz 26 45 0 10 Aug 2021