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Embracing Ambiguity: Shifting the Training Target of NLI Models

Embracing Ambiguity: Shifting the Training Target of NLI Models

6 June 2021
Johannes Mario Meissner
Napat Thumwanit
Saku Sugawara
Akiko Aizawa
ArXiv (abs)PDFHTML

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

18 / 18 papers shown
Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
151
1
0
02 May 2025
Self-Knowledge Distillation for Learning Ambiguity
Self-Knowledge Distillation for Learning Ambiguity
Hancheol Park
Soyeong Jeong
Sukmin Cho
Jong C. Park
69
1
0
14 Jun 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label
  Variation?
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan
Raquel Fernández
Barbara Plank
Wilker Aziz
102
11
0
25 Feb 2024
Quantifying Divergence for Human-AI Collaboration and Cognitive Trust
Quantifying Divergence for Human-AI Collaboration and Cognitive Trust
Muge Kural
Ali Gebesçe
T. Chubakov
Gözde Gül Sahin
FedML
43
0
0
14 Dec 2023
A Survey of Confidence Estimation and Calibration in Large Language
  Models
A Survey of Confidence Estimation and Calibration in Large Language Models
Jiahui Geng
Fengyu Cai
Yuxia Wang
Heinz Koeppl
Preslav Nakov
Iryna Gurevych
UQCV
143
81
0
14 Nov 2023
Unveiling the Multi-Annotation Process: Examining the Influence of
  Annotation Quantity and Instance Difficulty on Model Performance
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance
Pritam Kadasi
Mayank Singh
57
3
0
23 Oct 2023
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in
  Natural Language Inference
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference
Animesh Nighojkar
Antonio Laverghetta
John Licato
59
4
0
16 Jun 2023
Deep Model Compression Also Helps Models Capture Ambiguity
Deep Model Compression Also Helps Models Capture Ambiguity
Hancheol Park
Jong C. Park
60
2
0
12 Jun 2023
On Degrees of Freedom in Defining and Testing Natural Language
  Understanding
On Degrees of Freedom in Defining and Testing Natural Language Understanding
Saku Sugawara
S. Tsugita
ELM
72
1
0
24 May 2023
You Are What You Annotate: Towards Better Models through Annotator
  Representations
You Are What You Annotate: Towards Better Models through Annotator Representations
Naihao Deng
Xinliang Frederick Zhang
Siyang Liu
Winston Wu
Lu Wang
Rada Mihalcea
61
21
0
24 May 2023
Can Large Language Models Capture Dissenting Human Voices?
Can Large Language Models Capture Dissenting Human Voices?
Noah Lee
Na Min An
James Thorne
ALM
104
32
0
23 May 2023
We're Afraid Language Models Aren't Modeling Ambiguity
We're Afraid Language Models Aren't Modeling Ambiguity
Alisa Liu
Zhaofeng Wu
Julian Michael
Alane Suhr
Peter West
Alexander Koller
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
137
105
0
27 Apr 2023
Stop Measuring Calibration When Humans Disagree
Stop Measuring Calibration When Humans Disagree
Joris Baan
Wilker Aziz
Barbara Plank
Raquel Fernández
90
56
0
28 Oct 2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
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
93
36
0
21 Oct 2022
Possible Stories: Evaluating Situated Commonsense Reasoning under
  Multiple Possible Scenarios
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios
Mana Ashida
Saku Sugawara
91
6
0
16 Sep 2022
An Understanding-Oriented Robust Machine Reading Comprehension Model
An Understanding-Oriented Robust Machine Reading Comprehension Model
Feiliang Ren
Yongkang Liu
Bochao Li
Shilei Liu
Bingchao Wang
Jiaqi Wang
Chunchao Liu
Qi Ma
55
3
0
01 Jul 2022
Symptom Identification for Interpretable Detection of Multiple Mental
  Disorders
Symptom Identification for Interpretable Detection of Multiple Mental Disorders
Zhiling Zhang
Siyuan Chen
Mengyue Wu
Ke Zhu
98
27
0
23 May 2022
Distributed NLI: Learning to Predict Human Opinion Distributions for
  Language Reasoning
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning
Xiang Zhou
Yixin Nie
Joey Tianyi Zhou
UQCV
51
29
0
18 Apr 2021
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