Out-of-Distribution Detection and Selective Generation for Conditional
Language Models

Out-of-Distribution Detection and Selective Generation for Conditional Language Models

30 September 2022

Mohammad Saleh

Balaji Lakshminarayanan

Papers citing "Out-of-Distribution Detection and Selective Generation for Conditional Language Models"

19 / 19 papers shown

Title
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering Jihao Zhao Chunlai Zhou Biao Qin 52 0 0 05 May 2025
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? Kai Yan Yufei Xu Zhengyin Du Xuesong Yao Zhilin Wang Xiaowen Guo Jiecao Chen ReLM ELM LRM 95 3 0 01 Apr 2025
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home Viktor Moskvoretskii M. Lysyuk Mikhail Salnikov Nikolay Ivanov Sergey Pletenev Daria Galimzianova Nikita Krayko Vasily Konovalov Irina Nikishina Alexander Panchenko RALM 74 4 0 24 Feb 2025
Can Your Uncertainty Scores Detect Hallucinated Entity? Min-Hsuan Yeh Max Kamachee Seongheon Park Yixuan Li HILM 55 1 0 17 Feb 2025
Confidence Estimation for Error Detection in Text-to-SQL Systems Oleg Somov Elena Tutubalina 43 1 0 17 Jan 2025
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 50 4 0 17 Oct 2024
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ZhongXiang Sun Xiaoxue Zang Kai Zheng Yang Song Jun Xu Xiao Zhang Weijie Yu Yang Song Han Li 57 7 0 15 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
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph Roman Vashurin Ekaterina Fadeeva Artem Vazhentsev Akim Tsvigun Daniil Vasilev ... Timothy Baldwin Timothy Baldwin Maxim Panov Artem Shelmanov Artem Shelmanov HILM 68 8 0 21 Jun 2024
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs Shuang Ao Stefan Rueger Advaith Siddharthan 33 1 0 05 Jun 2024
Language Model Cascades: Token-level uncertainty and beyond Neha Gupta Harikrishna Narasimhan Wittawat Jitkrittum A. S. Rawat A. Menon Sanjiv Kumar UQLM 53 42 0 15 Apr 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 19 4 0 17 Mar 2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models J. Allingham Jie Jessie Ren Michael W. Dusenberry Xiuye Gu Huayu Chen Dustin Tran J. Liu Balaji Lakshminarayanan LLMAG VLM 35 33 0 13 Feb 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise Kundan Krishna Yao-Min Zhao Jie Jessie Ren Balaji Lakshminarayanan Jiaming Luo Mohammad Saleh Peter J. Liu 28 4 0 20 Dec 2022
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 225 97 0 14 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 175 3,510 0 10 Jun 2015