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2402.12038
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Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
19 February 2024
Milan Bhan
Jean-Noël Vittaut
N. Chesneau
Marie-Jeanne Lesot
ReLM
LRM
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Papers citing
"Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations"
8 / 8 papers shown
Title
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Mahdi Dhaini
Ege Erdogan
Nils Feldhus
Gjergji Kasneci
41
0
0
02 May 2025
Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu
Xiang Li
Dongqi Cai
Rongjie Yi
Fangming Liu
Xiwen Zhang
Nicholas D. Lane
Mengwei Xu
ObjD
LRM
51
36
0
24 Sep 2024
Evaluating self-attention interpretability through human-grounded experimental protocol
Milan Bhan
Nina Achache
Victor Legrand
A. Blangero
N. Chesneau
21
9
0
27 Mar 2023
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
Jessica Dai
Sohini Upadhyay
Ulrich Aivodji
Stephen H. Bach
Himabindu Lakkaraju
35
56
0
15 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,217
0
21 Mar 2022
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
274
170
0
24 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
255
620
0
04 Dec 2018
1