Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging

10 April 2023

Papers citing "Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging"

7 / 7 papers shown

Title
Robust Hallucination Detection in LLMs via Adaptive Token Selection Mengjia Niu Hamed Haddadi Guansong Pang HILM 53 0 0 10 Apr 2025
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization Yue Zhang Liqiang Jing Vibhav Gogate 116 2 0 19 Dec 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios Timo Pierre Schrader Lukas Lange Simon Razniewski Annemarie Friedrich UQLM 23 0 0 14 Oct 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models Jinhao Duan Hao-Ran Cheng Shiqi Wang Alex Zavalny Chenan Wang Renjing Xu B. Kailkhura Kaidi Xu 17 31 0 03 Jul 2023
Knowledge is a Region in Weight Space for Fine-tuned Language Models Almog Gueta Elad Venezian Colin Raffel Noam Slonim Yoav Katz Leshem Choshen 16 49 0 09 Feb 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015