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SeCoKD: Aligning Large Language Models for In-Context Learning with
  Fewer Shots

SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots

20 June 2024
Weixing Wang
Haojin Yang
Christoph Meinel
ArXivPDFHTML

Papers citing "SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots"

2 / 2 papers shown
Title
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
162
414
0
03 Oct 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
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
279
1,121
0
18 Apr 2021
1