Not All Demonstration Examples are Equally Beneficial: Reweighting
Demonstration Examples for In-Context Learning

Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning

12 October 2023

Zhe Yang

Peiyi Wang

Zhifang Sui

Papers citing "Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning"

5 / 5 papers shown

Title
Mitigating Copy Bias in In-Context Learning through Neuron Pruning Ameen Ali Lior Wolf Ivan Titov 41 2 0 02 Oct 2024
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization Feifan Song Yuxuan Fan Xin Zhang Peiyi Wang Houfeng Wang 32 8 0 14 Feb 2024
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 205 104 0 15 Jul 2021
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 1,124 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 1,312 0 17 Jan 2021