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Reading Books is Great, But Not if You Are Driving! Visually Grounded
  Reasoning about Defeasible Commonsense Norms
v1v2 (latest)

Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
16 October 2023
Seungju Han
Junhyeok Kim
Jack Hessel
Liwei Jiang
Jiwan Chung
Yejin Son
Yejin Choi
Youngjae Yu
ArXiv (abs)PDFHTML

Papers citing "Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms"

4 / 4 papers shown
Title
MultiHoax: A Dataset of Multi-hop False-Premise Questions
MultiHoax: A Dataset of Multi-hop False-Premise QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Mohammadamin Shafiei
Hamidreza Saffari
Nafise Sadat Moosavi
LRM
221
0
0
30 May 2025
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable EventsComputer Vision and Pattern Recognition (CVPR), 2024
Aditya Chinchure
Sahithya Ravi
R. Ng
Vered Shwartz
Boyang Albert Li
Leonid Sigal
ReLMLRMVLM
369
7
0
07 Dec 2024
CELLO: Causal Evaluation of Large Vision-Language Models
CELLO: Causal Evaluation of Large Vision-Language Models
Meiqi Chen
Bo Peng
Yan Zhang
Chaochao Lu
LRMELM
219
7
0
27 Jun 2024
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
929
4,435
0
28 Feb 2017
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