Distributed NLI: Learning to Predict Human Opinion Distributions for
Language Reasoning

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning

18 April 2021

Joey Tianyi Zhou

Papers citing "Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning"

15 / 15 papers shown

Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation Liaoyaqi Wang Zhengping Jiang Anqi Liu Benjamin Van Durme 61 0 0 02 May 2025
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes Timothee Mickus Elaine Zosa Raúl Vázquez Teemu Vahtola Jörg Tiedemann Vincent Segonne Alessandro Raganato Marianna Apidianaki HILM LRM 43 21 0 12 Mar 2024
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference Animesh Nighojkar Antonio Laverghetta John Licato 36 4 0 16 Jun 2023
Deep Model Compression Also Helps Models Capture Ambiguity Hancheol Park Jong C. Park 30 1 0 12 Jun 2023
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation Nan-Jiang Jiang Chenhao Tan M. Marneffe 35 2 0 24 Apr 2023
Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization Zhenyu Lu 20 1 0 16 Dec 2022
Probing neural language models for understanding of words of estimative probability Damien Sileo Marie-Francine Moens 19 10 0 07 Nov 2022
Stop Measuring Calibration When Humans Disagree Joris Baan Wilker Aziz Barbara Plank Raquel Fernández 29 53 0 28 Oct 2022
Investigating Reasons for Disagreement in Natural Language Inference Nan-Jiang Jiang M. Marneffe 27 26 0 07 Sep 2022
Natural Language Inference with Mixed Effects William Gantt Benjamin Kane A. White CML 34 11 0 20 Oct 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 290 0 17 Mar 2020
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 299 6,984 0 20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015