Manipulating the Label Space for In-Context Classification

Manipulating the Label Space for In-Context Classification

1 December 2023

Jing Wang

Papers citing "Manipulating the Label Space for In-Context Classification"

6 / 6 papers shown

Title
Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models Yuhang Huang Zihan Wu Chongyang Gao Jiawei Peng Xu Yang 32 2 0 26 Apr 2024
Few-shot Learner Parameterization by Diffusion Time-steps Zhongqi Yue Pan Zhou Richang Hong Hanwang Zhang Qianru Sun 36 11 0 05 Mar 2024
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA Zhengyuan Yang Zhe Gan Jianfeng Wang Xiaowei Hu Yumao Lu Zicheng Liu Lijuan Wang 180 402 0 10 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 348 2,271 0 02 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 253 695 0 27 Aug 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020