(Poster) The Trilemma of Truth in Large Language Models: Improving Probes that Track Veracity in LLMs

This poster is presented at the 11th International Conference on Computational Social Science (IC2S2) in Norrköping, Sweden.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-18
DOI
https://doi.org/10.5281/zenodo.16039538
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

(Poster) The Trilemma of Truth in Large Language Models: Improving Probes that Track Veracity in LLMs

Zenodo (CERN European Organization for Nuclear Research)
Computational and Text Analysis Methods
article

(Poster) The Trilemma of Truth in Large Language Models: Improving Probes that Track Veracity in LLMs

article en

Abstract

This poster is presented at the 11th International Conference on Computational Social Science (IC2S2) in Norrköping, Sweden.

Zenodo (CERN European Organization for Nuclear Research)
Santa Fe Institute (US), Universidad del Noreste (MX)
Openalex Percentile: Top 45%
Computational and Text Analysis Methods
DOIOpen Access PDFOpenAlex
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(Poster) The Trilemma of Truth in Large Language Models: Improving Probes that Track Veracity in LLMs · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS