Embracing Ambiguity: Shifting the Training Target of NLI Models

6 June 2021

Papers citing "Embracing Ambiguity: Shifting the Training Target of NLI Models"

7 / 7 papers shown

Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation Liaoyaqi Wang Zhengping Jiang Anqi Liu Benjamin Van Durme 65 0 0 02 May 2025
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference Animesh Nighojkar Antonio Laverghetta John Licato 38 4 0 16 Jun 2023
Deep Model Compression Also Helps Models Capture Ambiguity Hancheol Park Jong C. Park 33 1 0 12 Jun 2023
Stop Measuring Calibration When Humans Disagree Joris Baan Wilker Aziz Barbara Plank Raquel Fernández 29 53 0 28 Oct 2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval Kun Zhou Yeyun Gong Xiao Liu Wayne Xin Zhao Yelong Shen ... Jing Lu Rangan Majumder Ji-Rong Wen Nan Duan Weizhu Chen 44 33 0 21 Oct 2022
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios Mana Ashida Saku Sugawara 70 6 0 16 Sep 2022
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning Xiang Zhou Yixin Nie Joey Tianyi Zhou UQCV 22 28 0 18 Apr 2021