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What Can We Learn from Collective Human Opinions on Natural Language
  Inference Data?

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

7 October 2020
Yixin Nie
Xiang Zhou
Joey Tianyi Zhou
ArXivPDFHTML

Papers citing "What Can We Learn from Collective Human Opinions on Natural Language Inference Data?"

30 / 30 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
61
0
0
02 May 2025
Validating LLM-as-a-Judge Systems in the Absence of Gold Labels
Luke M. Guerdan
Solon Barocas
Kenneth Holstein
Hanna M. Wallach
Zhiwei Steven Wu
Alexandra Chouldechova
ALM
ELM
263
0
0
13 Mar 2025
FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark
FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark
Zhangdie Yuan
Zifeng Ding
Andreas Vlachos
AI4TS
82
0
0
27 Feb 2025
Fine-grained Fallacy Detection with Human Label Variation
Fine-grained Fallacy Detection with Human Label Variation
Alan Ramponi
Agnese Daffara
Sara Tonelli
58
1
0
20 Feb 2025
Training and Evaluating with Human Label Variation: An Empirical Study
Training and Evaluating with Human Label Variation: An Empirical Study
Kemal Kurniawan
Meladel Mistica
Timothy Baldwin
Jey Han Lau
67
0
0
03 Feb 2025
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
Tongshuang Wu
Haiyi Zhu
Maya Albayrak
Alexis Axon
Amanda Bertsch
...
Ying-Jui Tseng
Patricia Vaidos
Zhijin Wu
Wei Wu
Chenyang Yang
88
31
0
10 Jan 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Michele Caprio
David Stutz
Shuo Li
Arnaud Doucet
UQCV
70
4
0
07 Nov 2024
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
Michael J.Q. Zhang
W. Bradley Knox
Eunsol Choi
50
4
0
17 Oct 2024
Can Humans Identify Domains?
Can Humans Identify Domains?
Maria Barrett
Max Müller-Eberstein
Elisa Bassignana
Amalie Brogaard Pauli
Mike Zhang
Rob van der Goot
47
1
0
02 Apr 2024
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and
  Related Observable Overgeneration Mistakes
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
Interpretation modeling: Social grounding of sentences by reasoning over
  their implicit moral judgments
Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments
Liesbeth Allein
Maria Mihaela Trucscva
Marie-Francine Moens
45
1
0
27 Nov 2023
Collective Human Opinions in Semantic Textual Similarity
Collective Human Opinions in Semantic Textual Similarity
Yuxia Wang
Shimin Tao
Ning Xie
Hao Yang
Timothy Baldwin
Karin Verspoor
29
4
0
08 Aug 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
36
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
33
1
0
12 Jun 2023
Understanding and Predicting Human Label Variation in Natural Language
  Inference through Explanation
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
Uncertainty-Aware Natural Language Inference with Stochastic Weight
  Averaging
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging
Aarne Talman
H. Çelikkanat
Sami Virpioja
Markus Heinonen
Jörg Tiedemann
BDL
UQCV
26
7
0
10 Apr 2023
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing
  the Biases Introduced by Task Design
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design
Valentina Pyatkin
Frances Yung
Merel C. J. Scholman
Reut Tsarfaty
Ido Dagan
Vera Demberg
27
12
0
03 Apr 2023
Investigating Multi-source Active Learning for Natural Language
  Inference
Investigating Multi-source Active Learning for Natural Language Inference
Ard Snijders
Douwe Kiela
Katerina Margatina
24
7
0
14 Feb 2023
Multi-Scales Data Augmentation Approach In Natural Language Inference
  For Artifacts Mitigation And Pre-Trained Model Optimization
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
Sources of Noise in Dialogue and How to Deal with Them
Sources of Noise in Dialogue and How to Deal with Them
Derek Chen
Zhou Yu
29
2
0
06 Dec 2022
The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
30
97
0
04 Nov 2022
Stop Measuring Calibration When Humans Disagree
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
Investigating Reasons for Disagreement in Natural Language Inference
Nan-Jiang Jiang
M. Marneffe
27
26
0
07 Sep 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
27
26
0
10 May 2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in
  Production Environments
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments
Christopher Hidey
Fei Liu
Rahul Goel
32
4
0
10 Apr 2022
What Makes Reading Comprehension Questions Difficult?
What Makes Reading Comprehension Questions Difficult?
Saku Sugawara
Nikita Nangia
Alex Warstadt
Sam Bowman
ELM
RALM
20
13
0
12 Mar 2022
Natural Language Deduction through Search over Statement Compositions
Natural Language Deduction through Search over Statement Compositions
Kaj Bostrom
Zayne Sprague
Swarat Chaudhuri
Greg Durrett
ReLM
LRM
27
46
0
16 Jan 2022
Adversarially Constructed Evaluation Sets Are More Challenging, but May
  Not Be Fair
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair
Jason Phang
Angelica Chen
William Huang
Samuel R. Bowman
AAML
28
13
0
16 Nov 2021
Can Transformer Language Models Predict Psychometric Properties?
Can Transformer Language Models Predict Psychometric Properties?
Antonio Laverghetta
Animesh Nighojkar
Jamshidbek Mirzakhalov
John Licato
LM&MA
38
14
0
12 Jun 2021
ANLIzing the Adversarial Natural Language Inference Dataset
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams
Tristan Thrush
Douwe Kiela
AAML
183
46
0
24 Oct 2020
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