v1v2 (latest)

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models

16 December 2024

Papers citing "UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models"

50 / 50 papers shown

Title
Toward a Theory of Agents as Tool-Use Decision-Makers Hongru Wang Cheng Qian Manling Li Jiahao Qiu Boyang Xue Mengdi Wang Heng Ji Kam-Fai Wong 63 0 0 01 Jun 2025
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs Junxiao Yang Jinzhe Tu Haoran Liu Xiaoce Wang Chujie Zheng ... Caishun Chen Tiantian He Hongning Wang Yew-Soon Ong Minlie Huang LRM 107 0 0 18 May 2025
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Charlie Snell Jaehoon Lee Kelvin Xu Aviral Kumar LRM 266 702 0 06 Aug 2024
LLM Internal States Reveal Hallucination Risk Faced With a Query Ziwei Ji Delong Chen Etsuko Ishii Samuel Cahyawijaya Yejin Bang Bryan Wilie Pascale Fung HILM LRM 115 35 0 03 Jul 2024
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference Erxin Yu Jing Li Ming Liao Siqi Wang Zuchen Gao Fei Mi Lanqing Hong ELM LRM 122 19 0 25 Jun 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin Jannik Kossen Yarin Gal Pekka Marttinen UQCV 138 45 0 30 May 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? Zorik Gekhman G. Yona Roee Aharoni Matan Eyal Amir Feder Roi Reichart Jonathan Herzig 163 137 0 09 May 2024
Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience Haixia Han Tingyun Li Shisong Chen Jie Shi Chengyu Du Yanghua Xiao Jiaqing Liang Xin Lin 89 11 0 16 Apr 2024
Rejection Improves Reliability: Training LLMs to Refuse Unknown Questions Using RL from Knowledge Feedback Hongshen Xu Zichen Zhu Situo Zhang Da Ma Shuai Fan Lu Chen Kai Yu HILM 110 45 0 27 Mar 2024
Knowledge Conflicts for LLMs: A Survey Rongwu Xu Zehan Qi Zhijiang Guo Cunxiang Wang Hongru Wang Yue Zhang Wei Xu 319 122 0 13 Mar 2024
PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction Erxin Yu Jing Li Chunpu Xu 63 6 0 29 Feb 2024
Calibrating Large Language Models with Sample Consistency Qing Lyu Kumar Shridhar Chaitanya Malaviya Li Zhang Yanai Elazar Niket Tandon Marianna Apidianaki Mrinmaya Sachan Chris Callison-Burch 103 29 0 21 Feb 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation Xiaoying Zhang Baolin Peng Ye Tian Jingyan Zhou Lifeng Jin Linfeng Song Haitao Mi Helen Meng HILM 91 52 0 14 Feb 2024
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation Yuxin Liang Zhuoyang Song Hao Wang Jiaxing Zhang HILM 102 36 0 27 Jan 2024
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge Genglin Liu Xingyao Wang Lifan Yuan Yangyi Chen Hao Peng 100 19 0 16 Nov 2023
Fine-tuning Language Models for Factuality Katherine Tian Eric Mitchell Huaxiu Yao Christopher D. Manning Chelsea Finn KELM HILM SyDa 92 185 0 14 Nov 2023
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment Boyang Xue Weichao Wang Hongru Wang Fei Mi Rui Wang Yasheng Wang Lifeng Shang Xin Jiang Qun Liu Kam-Fai Wong KELM HILM 299 18 0 12 Oct 2023
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning Yuchen Yang Houqiang Li Yanfeng Wang Yu Wang 80 25 0 07 Oct 2023
A Long Way to Go: Investigating Length Correlations in RLHF Prasann Singhal Tanya Goyal Jiacheng Xu Greg Durrett 163 161 0 05 Oct 2023
Reinforced Self-Training (ReST) for Language Modeling Çağlar Gülçehre T. Paine S. Srinivasan Ksenia Konyushkova L. Weerts ... Chenjie Gu Wolfgang Macherey Arnaud Doucet Orhan Firat Nando de Freitas OffRL 138 309 0 17 Aug 2023
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation Ruiyang Ren Yuhao Wang Yingqi Qu Wayne Xin Zhao Qingbin Liu Hao Tian Huaqin Wu Ji-Rong Wen Haifeng Wang RALM KELM 129 136 0 20 Jul 2023
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation Neeraj Varshney Wenlin Yao Hongming Zhang Jianshu Chen Dong Yu HILM 125 175 0 08 Jul 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 241 452 0 22 Jun 2023
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model Kenneth Li Oam Patel Fernanda Viégas Hanspeter Pfister Martin Wattenberg KELM HILM 195 584 0 06 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 405 4,190 0 29 May 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 180 357 0 24 May 2023
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting Rui Wang Hongru Wang Fei Mi Yi Chen Boyang Xue Kam-Fai Wong Rui-Lan Xu 93 17 0 23 May 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 1.7K 13,558 0 27 Feb 2023
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models Kaitlyn Zhou Dan Jurafsky Tatsunori Hashimoto 125 69 0 26 Feb 2023
Constitutional AI: Harmlessness from AI Feedback Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell John Kernion ... Dario Amodei Nicholas Joseph Sam McCandlish Tom B. Brown Jared Kaplan SyDa MoMe 311 1,651 0 15 Dec 2022
CoP: Factual Inconsistency Detection by Controlling the Preference Shuaijie She Xiang Geng Shujian Huang Jiajun Chen 103 5 0 03 Dec 2022
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 273 99 0 10 Oct 2022
Bayesian Neural Network Language Modeling for Speech Recognition Boyang Xue Shoukang Hu Junhao Xu Mengzhe Geng Xunying Liu Helen M. Meng UQCV BDL 127 18 0 28 Aug 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 150 836 0 11 Jul 2022
Teaching Models to Express Their Uncertainty in Words Stephanie C. Lin Jacob Hilton Owain Evans OOD 144 425 0 28 May 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 307 2,632 0 12 Apr 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 1.3K 13,290 0 04 Mar 2022
TruthfulQA: Measuring How Models Mimic Human Falsehoods Stephanie C. Lin Jacob Hilton Owain Evans HILM 163 1,956 0 08 Sep 2021
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 335 171 0 30 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 382 1,952 0 12 Nov 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 1.2K 42,754 0 28 May 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 615 1,776 0 18 Sep 2019
Correcting Length Bias in Neural Machine Translation Kenton W. Murray David Chiang AIMat 88 158 0 29 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 203 2,078 0 10 Jul 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 712 19,378 0 20 Jul 2017
Crowdsourcing Multiple Choice Science Questions Johannes Welbl Nelson F. Liu Matt Gardner AI4Ed 149 522 0 19 Jul 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 303 5,901 0 14 Jun 2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension Mandar Joshi Eunsol Choi Daniel S. Weld Luke Zettlemoyer RALM 442 2,696 0 09 May 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 1.0K 5,863 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 1.0K 9,393 0 06 Jun 2015