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Large Language Models Cannot Explain Themselves

Large Language Models Cannot Explain Themselves

7 May 2024
Advait Sarkar
    LRM
ArXivPDFHTML

Papers citing "Large Language Models Cannot Explain Themselves"

5 / 5 papers shown
Title
Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines
Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines
R. Manuvinakurike
Emanuel Moss
E. A. Watkins
Saurav Sahay
G. Raffa
L. Nachman
LRM
24
0
0
01 May 2025
SPEX: Scaling Feature Interaction Explanations for LLMs
SPEX: Scaling Feature Interaction Explanations for LLMs
J. S. Kang
Landon Butler
Abhineet Agarwal
Y. E. Erginbas
Ramtin Pedarsani
Kannan Ramchandran
Bin Yu
VLM
LRM
64
0
0
20 Feb 2025
AI Should Challenge, Not Obey
AI Should Challenge, Not Obey
Advait Sarkar
104
19
0
04 Nov 2024
"It's like a rubber duck that talks back": Understanding Generative
  AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
Ian Drosos
Advait Sarkar
X. Xu
Carina Negreanu
Sean Rintel
Lev Tankelevitch
37
13
0
03 Jul 2024
Is explainable AI a race against model complexity?
Is explainable AI a race against model complexity?
Advait Sarkar
LRM
21
14
0
17 May 2022
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