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WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts

WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts

31 January 2024
Pardis Sadat Zahraei
Ali Emami
ArXivPDFHTML

Papers citing "WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts"

7 / 7 papers shown
Title
WinoWhat: A Parallel Corpus of Paraphrased WinoGrande Sentences with Common Sense Categorization
WinoWhat: A Parallel Corpus of Paraphrased WinoGrande Sentences with Common Sense Categorization
I. Gevers
Victor De Marez
Luna De Bruyne
Walter Daelemans
37
0
0
31 Mar 2025
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
Raj Sanjay Shah
Sashank Varma
LRM
89
0
0
22 Jan 2025
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language
  Models for Healthcare
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
Pardis Sadat Zahraei
Zahra Shakeri
LM&MA
26
0
0
09 Oct 2024
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge
Brendan Park
Madeline Janecek
Naser Ezzati-Jivan
Yifeng Li
Ali Emami
37
0
0
25 May 2024
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human
  Adversaries
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries
Jing Han Sun
Ali Emami
40
3
0
20 Feb 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
Substructure Substitution: Structured Data Augmentation for NLP
Substructure Substitution: Structured Data Augmentation for NLP
Freda Shi
Karen Livescu
Kevin Gimpel
192
41
0
02 Jan 2021
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