Improving Input-label Mapping with Demonstration Replay for In-context
Learning

Improving Input-label Mapping with Demonstration Replay for In-context Learning

30 October 2023

Dongyan Zhao

Rui Yan

Papers citing "Improving Input-label Mapping with Demonstration Replay for In-context Learning"

5 / 5 papers shown

Title
Prototypical Calibration for Few-shot Learning of Language Models Zhixiong Han Y. Hao Li Dong Yutao Sun Furu Wei 168 52 0 20 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
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 225 335 0 02 Feb 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,311 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