LOGICAL CONSISTENCY OF LARGE LANGUAGE MODELS IN FACT-CHECKING

Bishwamittra Ghosh; Sarah Hasan; Naheed Anjum Arafat; Arijit Khan

LOGICAL CONSISTENCY OF LARGE LANGUAGE MODELS IN FACT-CHECKING

Bishwamittra Ghosh
, Sarah Hasan
, Naheed Anjum Arafat
, Arijit Khan

Max Planck Institute for Software Systems
Aalborg University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	13th International Conference on Learning Representations, ICLR 2025
Publisher	International Conference on Learning Representations, ICLR
Pages	77945-77981
Number of pages	37
ISBN (Electronic)	9798331320850
State	Published - 2025
Externally published	Yes
Event	13th International Conference on Learning Representations, ICLR 2025 - Singapore, Singapore Duration: Apr 24 2025 → Apr 28 2025

Publication series

Name	13th International Conference on Learning Representations, ICLR 2025

Conference

Conference	13th International Conference on Learning Representations, ICLR 2025
Country/Territory	Singapore
City	Singapore
Period	4/24/25 → 4/28/25

ASJC Scopus Subject Areas

Language and Linguistics
Computer Science Applications
Education
Linguistics and Language

Cite this

LOGICAL CONSISTENCY OF LARGE LANGUAGE MODELS IN FACT-CHECKING. / Ghosh, Bishwamittra; Hasan, Sarah; Arafat, Naheed Anjum et al.
13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, 2025. p. 77945-77981 (13th International Conference on Learning Representations, ICLR 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ghosh, B, Hasan, S, Arafat, NA & Khan, A 2025, LOGICAL CONSISTENCY OF LARGE LANGUAGE MODELS IN FACT-CHECKING. in 13th International Conference on Learning Representations, ICLR 2025. 13th International Conference on Learning Representations, ICLR 2025, International Conference on Learning Representations, ICLR, pp. 77945-77981, 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore, 4/24/25.

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title = "LOGICAL CONSISTENCY OF LARGE LANGUAGE MODELS IN FACT-CHECKING",

author = "Bishwamittra Ghosh and Sarah Hasan and Arafat, \{Naheed Anjum\} and Arijit Khan",

note = "Publisher Copyright: {\textcopyright} 2025 13th International Conference on Learning Representations, ICLR 2025. All rights reserved.; 13th International Conference on Learning Representations, ICLR 2025 ; Conference date: 24-04-2025 Through 28-04-2025",

year = "2025",

language = "English",

series = "13th International Conference on Learning Representations, ICLR 2025",

publisher = "International Conference on Learning Representations, ICLR",

pages = "77945--77981",

booktitle = "13th International Conference on Learning Representations, ICLR 2025",

}

TY - GEN

T1 - LOGICAL CONSISTENCY OF LARGE LANGUAGE MODELS IN FACT-CHECKING

AU - Ghosh, Bishwamittra

AU - Hasan, Sarah

AU - Arafat, Naheed Anjum

AU - Khan, Arijit

PY - 2025

Y1 - 2025

UR - https://www.scopus.com/pages/publications/105010276477

UR - https://www.scopus.com/pages/publications/105010276477#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:105010276477

T3 - 13th International Conference on Learning Representations, ICLR 2025

SP - 77945

EP - 77981

BT - 13th International Conference on Learning Representations, ICLR 2025

PB - International Conference on Learning Representations, ICLR

T2 - 13th International Conference on Learning Representations, ICLR 2025

Y2 - 24 April 2025 through 28 April 2025

ER -

LOGICAL CONSISTENCY OF LARGE LANGUAGE MODELS IN FACT-CHECKING

Publication series

Conference

ASJC Scopus Subject Areas

Other files and links

Cite this