ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification

16 November 2023

Papers citing "ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification"

6 / 6 papers shown

Title
From Haystack to Needle: Label Space Reduction for Zero-shot Classification Nathan Vandemoortele Bram Steenwinckel F. Ongenae Sofie Van Hoecke VLM 73 0 0 12 Feb 2025
Large Language Models are Strong Zero-Shot Retriever Tao Shen Guodong Long Xiubo Geng Chongyang Tao Tianyi Zhou Daxin Jiang RALM KELM 35 33 0 27 Apr 2023
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 152 298 0 03 Oct 2022
NGAME: Negative Mining-aware Mini-batching for Extreme Classification Kunal Dahiya Nilesh Gupta Deepak Saini Akshay Soni Yajun Wang ... Sonu Mehta R. Ramjee Sumeet Agarwal Purushottam Kar Manik Varma 21 23 0 10 Jul 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 1,296 0 17 Jan 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification Ting Jiang Deqing Wang Leilei Sun Huayi Yang Zhengyang Zhao Fuzhen Zhuang VLM 99 114 0 09 Jan 2021