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Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability with Local Explanations

Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability with Local Explanations

27 May 2025
Zeinab Dehghani
Koorosh Aslansefat
Adil Khan
Mohammed Naveed Akram
    MILM
    LRM
ArXivPDFHTML

Papers citing "Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability with Local Explanations"

19 / 19 papers shown
Title
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
422
13,788
0
15 Mar 2023
Large Language Models Are Reasoning Teachers
Large Language Models Are Reasoning Teachers
Namgyu Ho
Laura Schmid
Se-Young Yun
ReLM
ELM
LRM
71
334
0
20 Dec 2022
Galactica: A Large Language Model for Science
Galactica: A Large Language Model for Science
Ross Taylor
Marcin Kardas
Guillem Cucurull
Thomas Scialom
Anthony Hartshorn
Elvis Saravia
Andrew Poulton
Viktor Kerkez
Robert Stojnic
ELM
ReLM
75
754
0
16 Nov 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
271
2,348
0
09 Nov 2022
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELM
ALM
146
5,328
0
07 Jul 2021
S-LIME: Stabilized-LIME for Model Explanation
S-LIME: Stabilized-LIME for Model Explanation
Zhengze Zhou
Giles Hooker
Fei Wang
FAtt
83
89
0
15 Jun 2021
ByT5: Towards a token-free future with pre-trained byte-to-byte models
ByT5: Towards a token-free future with pre-trained byte-to-byte models
Linting Xue
Aditya Barua
Noah Constant
Rami Al-Rfou
Sharan Narang
Mihir Kale
Adam Roberts
Colin Raffel
62
482
0
28 May 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
666
28,659
0
26 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
316
4,873
0
24 Feb 2021
Evaluation: from precision, recall and F-measure to ROC, informedness,
  markedness and correlation
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
D. Powers
101
5,240
0
11 Oct 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
461
41,106
0
28 May 2020
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
152
6,454
0
05 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
117
7,386
0
02 Oct 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
882
93,936
0
11 Oct 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
81
3,922
0
06 Feb 2018
Explainable Artificial Intelligence: Understanding, Visualizing and
  Interpreting Deep Learning Models
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek
Thomas Wiegand
K. Müller
XAI
VLM
53
1,186
0
28 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
427
129,831
0
12 Jun 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAtt
AAML
45
1,514
0
11 Apr 2017
Fast Computation of Wasserstein Barycenters
Fast Computation of Wasserstein Barycenters
Marco Cuturi
Arnaud Doucet
OT
73
735
0
16 Oct 2013
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