Uncertainty in Natural Language Processing: Sources, Quantification, and Applications

5 June 2023

Papers citing "Uncertainty in Natural Language Processing: Sources, Quantification, and Applications"

34 / 34 papers shown

Title
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space Zhen Zhang Xuehai He Weixiang Yan Ao Shen Chenyang Zhao Shuaiqiang Wang Yelong Shen Xin Eric Wang LRM 12 0 0 21 May 2025
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence Sophia Hager David Mueller Kevin Duh Nicholas Andrews 72 0 0 18 Mar 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves Timothee Mickus Aman Sinha Raúl Vázquez 60 0 0 03 Mar 2025
Embracing Diversity: A Multi-Perspective Approach with Soft Labels Benedetta Muscato Praveen Bushipaka Gizem Gezici Lucia Passaro F. Giannotti Tommaso Cucinotta 44 0 0 01 Mar 2025
Black-box Uncertainty Quantification Method for LLM-as-a-Judge Nico Wagner Michael Desmond Rahul Nair Zahra Ashktorab Elizabeth M. Daly Qian Pan Martin Santillan Cooper James M. Johnson Werner Geyer ELM UQCV 52 4 0 15 Oct 2024
Reference-free Hallucination Detection for Large Vision-Language Models Qing Li Chenyang Lyu Jiahui Geng Derui Zhu Maxim Panov Fakhri Karray 32 6 0 11 Aug 2024
Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks Zizhang Chen Pengyu Hong Sandeep Madireddy 37 1 0 07 Aug 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry AI4TS 45 1 0 29 Jul 2024
Internal Consistency and Self-Feedback in Large Language Models: A Survey Xun Liang Shichao Song Zifan Zheng Hanyu Wang Qingchen Yu ... Rong-Hua Li Peng Cheng Zhonghao Wang Zhiyu Li Zhiyu Li HILM LRM 73 28 0 19 Jul 2024
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification? Aman Sinha Timothee Mickus Marianne Clausel Mathieu Constant X. Coubez 47 0 0 17 Jul 2024
Uncertainty Quantification in Large Language Models Through Convex Hull Analysis Ferhat Ozgur Catak Murat Kuzlu UQCV 60 4 0 28 Jun 2024
InternalInspector $I^2$ : Robust Confidence Estimation in LLMs through Internal States Mohammad Beigi Ying Shen Runing Yang Zihao Lin Qifan Wang Ankith Mohan Jianfeng He Ming Jin Chang-Tien Lu Lifu Huang HILM 36 4 0 17 Jun 2024
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models Xin Qiu Risto Miikkulainen 54 3 0 22 May 2024
Conformal Prediction for Natural Language Processing: A Survey Margarida M. Campos António Farinhas Chrysoula Zerva Mário A. T. Figueiredo André F. T. Martins AI4CE 52 15 0 03 May 2024
P-NAL: an Effective and Interpretable Entity Alignment Method Chuanhao Xu Jingwei Cheng Fu Zhang 52 1 0 18 Apr 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection Moxin Li Wenjie Wang Fuli Feng Fengbin Zhu Qifan Wang Tat-Seng Chua HILM LRM 46 16 0 15 Mar 2024
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty Zhen Zhang Yuhua Zhao Hang Gao Mengting Hu 35 21 0 16 Feb 2024
Calibrating Long-form Generations from Large Language Models Yukun Huang Yixin Liu Raghuveer Thirukovalluru Arman Cohan Bhuwan Dhingra 27 7 0 09 Feb 2024
Benchmarking LLMs via Uncertainty Quantification Fanghua Ye Mingming Yang Jianhui Pang Longyue Wang Derek F. Wong Emine Yilmaz Shuming Shi Zhaopeng Tu ELM 28 47 0 23 Jan 2024
Copy Suppression: Comprehensively Understanding an Attention Head Callum McDougall Arthur Conmy Cody Rushing Thomas McGrath Neel Nanda MILM 25 42 0 06 Oct 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 37 40 0 28 Jul 2023
Can Large Language Models Capture Dissenting Human Voices? Noah Lee Na Min An James Thorne ALM 47 30 0 23 May 2023
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models Alfonso Amayuelas Kyle Wong Liangming Pan Wenhu Chen Wenjie Wang 42 25 0 23 May 2023
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt Willie Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 87 0 10 Oct 2022
Paradigm Shift in Natural Language Processing Tianxiang Sun Xiangyang Liu Xipeng Qiu Xuanjing Huang 126 82 0 26 Sep 2021
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering Siddhant Garg Alessandro Moschitti 29 26 0 14 Sep 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 225 97 0 14 Sep 2021
Uncertainty-Aware Reliable Text Classification Yibo Hu Latifur Khan EDL UQCV 38 33 0 15 Jul 2021
Consistent Accelerated Inference via Confident Adaptive Transformers Tal Schuster Adam Fisch Tommi Jaakkola Regina Barzilay AI4TS 200 69 0 18 Apr 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 116 180 0 19 Oct 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 246 290 0 17 Mar 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,211 0 12 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015