Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

19 February 2023

Papers citing "Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation"

9 / 59 papers shown

Title
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 38 158 0 02 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 54 284 0 24 May 2023
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models Alfonso Amayuelas Kyle Wong Liangming Pan Wenhu Chen Luu Anh Tuan 42 26 0 23 May 2023
LM vs LM: Detecting Factual Errors via Cross Examination Roi Cohen May Hamri Mor Geva Amir Globerson HILM 38 120 0 22 May 2023
Toward Trustworthy Neural Program Synthesis Darren Key Wen-Ding Li Kevin Ellis NAI 83 5 0 29 Sep 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 273 0 28 Sep 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 204 81 0 16 Feb 2021
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