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LLM Factoscope: Uncovering LLMs' Factual Discernment through Inner
  States Analysis

LLM Factoscope: Uncovering LLMs' Factual Discernment through Inner States Analysis

27 December 2023
Jinwen He
Yujia Gong
Kai-xiang Chen
Zijin Lin
Chengán Wei
Yue Zhao
ArXivPDFHTML

Papers citing "LLM Factoscope: Uncovering LLMs' Factual Discernment through Inner States Analysis"

4 / 4 papers shown
Title
The Geometry of Truth: Emergent Linear Structure in Large Language Model
  Representations of True/False Datasets
The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
Samuel Marks
Max Tegmark
HILM
91
167
0
10 Oct 2023
The Internal State of an LLM Knows When It's Lying
The Internal State of an LLM Knows When It's Lying
A. Azaria
Tom Michael Mitchell
HILM
216
298
0
26 Apr 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for
  Generative Large Language Models
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul
Adian Liusie
Mark J. F. Gales
HILM
LRM
150
390
0
15 Mar 2023
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
1