Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations

19 February 2024

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