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The Effect of Model Size on LLM Post-hoc Explainability via LIME

The Effect of Model Size on LLM Post-hoc Explainability via LIME

8 May 2024
Henning Heyen
Amy Widdicombe
Noah Y. Siegel
Maria Perez-Ortiz
Philip C. Treleaven
    LRM
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Papers citing "The Effect of Model Size on LLM Post-hoc Explainability via LIME"

4 / 4 papers shown
Title
Towards Faithful Explanations for Text Classification with Robustness
  Improvement and Explanation Guided Training
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training
Dongfang Li
Baotian Hu
Qingcai Chen
Shan He
31
4
0
29 Dec 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
319
11,953
0
04 Mar 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
261
4,489
0
23 Jan 2020
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
260
620
0
04 Dec 2018
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