$Se^2$ : Sequential Example Selection for In-Context Learning

21 February 2024

Papers citing "$Se^2$: Sequential Example Selection for In-Context Learning"

7 / 7 papers shown

Title
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars Yuncheng Hua Lizhen Qu Zhuang Li Hao Xue Flora D. Salim Gholamreza Haffari ALM 130 0 0 17 Feb 2025
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding Kangsan Kim G. Park Youngwan Lee Woongyeong Yeo Sung Ju Hwang 89 3 0 03 Dec 2024
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 180 77 0 16 Sep 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 3,163 0 21 Mar 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018