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UnCommonSense: Informative Negative Knowledge about Everyday Concepts
v1v2v3 (latest)

UnCommonSense: Informative Negative Knowledge about Everyday Concepts

International Conference on Information and Knowledge Management (CIKM), 2022
19 August 2022
Hiba Arnaout
Simon Razniewski
Gerhard Weikum
Jeff Z. Pan
ArXiv (abs)PDFHTML

Papers citing "UnCommonSense: Informative Negative Knowledge about Everyday Concepts"

9 / 9 papers shown
Title
The Impact of Negated Text on Hallucination with Large Language Models
The Impact of Negated Text on Hallucination with Large Language Models
Jaehyung Seo
Hyeonseok Moon
Heuiseok Lim
84
0
0
23 Oct 2025
CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction
CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction
Yuzhu Chen
Yingjie Wang
Shunyu Liu
Yongcheng Jing
Dacheng Tao
105
0
0
05 Sep 2025
Three Kinds of Negation in Knowledge and Their Mathematical Foundations
Three Kinds of Negation in Knowledge and Their Mathematical Foundations
Zhenghua Pan
Yong Wang
66
0
0
30 May 2025
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
UNcommonsense Reasoning: Abductive Reasoning about Uncommon SituationsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Wenting Zhao
Celine Lee
Jena D. Hwang
Faeze Brahman
Jack Hessel
Sanjiban Choudhury
Yejin Choi
Xiang Lorraine Li
Alane Suhr
LRMReLM
203
20
0
14 Nov 2023
In Search of the Long-Tail: Systematic Generation of Long-Tail
  Inferential Knowledge via Logical Rule Guided Search
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided SearchConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Huihan Li
Yuting Ning
Zeyi Liao
Siyuan Wang
Xiang Lorraine Li
Ximing Lu
Wenting Zhao
Faeze Brahman
Yejin Choi
Xiang Ren
LRM
151
9
0
13 Nov 2023
Can large language models generate salient negative statements?
Can large language models generate salient negative statements?
Hiba Arnaout
Simon Razniewski
165
4
0
26 May 2023
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A
  Million-scale Knowledge Base
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge BaseAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Siyu Yuan
Jiangjie Chen
Changzhi Sun
Jiaqing Liang
Yanghua Xiao
Deqing Yang
263
23
0
10 May 2023
Say What You Mean! Large Language Models Speak Too Positively about
  Negative Commonsense Knowledge
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jiangjie Chen
Wei Shi
Ziquan Fu
Sijie Cheng
Lei Li
Yanghua Xiao
220
57
0
10 May 2023
Completeness, Recall, and Negation in Open-World Knowledge Bases: A
  Survey
Completeness, Recall, and Negation in Open-World Knowledge Bases: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Simon Razniewski
Hiba Arnaout
Tuan-Phong Nguyen
Fabian M. Suchanek
199
13
0
09 May 2023
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