Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling

15 November 2023

Kaizhi Qian

Papers citing "Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling"

21 / 21 papers shown

Title
Why Uncertainty Estimation Methods Fall Short in RAG: An Axiomatic Analysis Heydar Soudani Evangelos Kanoulas Faegheh Hasibi 33 0 0 12 May 2025
Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection Pei-Fu Guo Yun-Da Tsai Shou-De Lin UD 51 0 0 12 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 110 0 0 04 May 2025
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation Liaoyaqi Wang Zhengping Jiang Anqi Liu Benjamin Van Durme 61 0 0 02 May 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
MAP: Multi-user Personalization with Collaborative LLM-powered Agents Christine P. Lee Jihye Choi Bilge Mutlu LLMAG 72 0 1 17 Mar 2025
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention Jinhao Duan Fei Kong Hao-Ran Cheng James Diffenderfer B. Kailkhura Lichao Sun Xiaofeng Zhu Xiaoshuang Shi Kaidi Xu 149 0 0 13 Mar 2025
Enhancing Hallucination Detection through Noise Injection Litian Liu Reza Pourreza Sunny Panchal Apratim Bhattacharyya Yao Qin Roland Memisevic HILM 81 2 0 06 Feb 2025
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 39 0 0 20 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi Ma 33 1 0 09 Oct 2024
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty Yongjin Yang Haneul Yoo Hwaran Lee 65 1 0 13 Aug 2024
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models Yu Feng Ben Zhou Weidong Lin Dan Roth 76 4 0 18 Apr 2024
Distinguishing the Knowable from the Unknowable with Language Models Gustaf Ahdritz Tian Qin Nikhil Vyas Boaz Barak Benjamin L. Edelman 26 18 0 05 Feb 2024
We're Afraid Language Models Aren't Modeling Ambiguity Alisa Liu Zhaofeng Wu Julian Michael Alane Suhr Peter West Alexander Koller Swabha Swayamdipta Noah A. Smith Yejin Choi 63 90 0 27 Apr 2023
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 120 136 0 22 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 314 3,248 0 21 Mar 2022
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 209 154 0 30 Dec 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015