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Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence

18 March 2025

Papers citing "Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence"

24 / 24 papers shown

Title
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Weihao Xuan Qingcheng Zeng Heli Qi Junjue Wang Naoto Yokoya 53 0 0 26 May 2025
On Verbalized Confidence Scores for LLMs Daniel Yang Yao-Hung Hubert Tsai M. Yamada 105 12 0 19 Dec 2024
Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models Gabriel Y. Arteaga Thomas B. Schon Nicolas Pielawski 109 9 0 04 Sep 2024
Hallucination of Multimodal Large Language Models: A Survey Zechen Bai Pichao Wang Tianjun Xiao Tong He Zongbo Han Zheng Zhang Mike Zheng Shou VLM LRM 222 197 0 29 Apr 2024
LUQ: Long-text Uncertainty Quantification for LLMs Caiqi Zhang Fangyu Liu Marco Basaldella Nigel Collier HILM 73 39 0 29 Mar 2024
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty Kaitlyn Zhou Jena D. Hwang Xiang Ren Maarten Sap 80 68 0 12 Jan 2024
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting Melanie Sclar Yejin Choi Yulia Tsvetkov Alane Suhr 102 360 0 17 Oct 2023
The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations Vipula Rawte Swagata Chakraborty Agnibh Pathak Anubhav Sarkar S.M. Towhidul Islam Tonmoy Aman Chadha Mikel Artetxe Punit Daniel Simig HILM 87 130 0 08 Oct 2023
A Long Way to Go: Investigating Length Correlations in RLHF Prasann Singhal Tanya Goyal Jiacheng Xu Greg Durrett 141 161 0 05 Oct 2023
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs Miao Xiong Zhiyuan Hu Xinyang Lu Yifei Li Jie Fu Junxian He Bryan Hooi 219 451 0 22 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 90 39 0 05 Jun 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback Katherine Tian E. Mitchell Allan Zhou Archit Sharma Rafael Rafailov Huaxiu Yao Chelsea Finn Christopher D. Manning 138 355 0 24 May 2023
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 125 861 0 16 Apr 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 504 10,526 0 17 Jun 2021
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 298 170 0 30 Dec 2020
mT5: A massively multilingual pre-trained text-to-text transformer Linting Xue Noah Constant Adam Roberts Mihir Kale Rami Al-Rfou Aditya Siddhant Aditya Barua Colin Raffel 151 2,561 0 22 Oct 2020
Measuring Massive Multitask Language Understanding Dan Hendrycks Collin Burns Steven Basart Andy Zou Mantas Mazeika Basel Alomair Jacob Steinhardt ELM RALM 189 4,577 0 07 Sep 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 169 2,761 0 05 Jun 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan Basel Alomair OOD 204 435 0 13 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 506 20,376 0 23 Oct 2019
Measuring Calibration in Deep Learning Jeremy Nixon Michael W. Dusenberry Ghassen Jerfel Timothy Nguyen Jeremiah Zhe Liu Linchuan Zhang Dustin Tran UQCV 91 492 0 02 Apr 2019
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
Learning to Ask: Neural Question Generation for Reading Comprehension Xinya Du Junru Shao Claire Cardie 3DV 158 664 0 29 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 316 8,177 0 16 Jun 2016