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SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme
  Classification

SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification

26 January 2023
Pranjal Aggarwal
Ameet Deshpande
Karthik Narasimhan
    AILaw
    VLM
ArXivPDFHTML

Papers citing "SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification"

4 / 4 papers shown
Title
ICXML: An In-Context Learning Framework for Zero-Shot Extreme
  Multi-Label Classification
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
Yaxin Zhu
Hamed Zamani
46
3
0
16 Nov 2023
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
242
593
0
14 Jul 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
246
971
0
17 Apr 2021
LightXML: Transformer with Dynamic Negative Sampling for
  High-Performance Extreme Multi-label Text Classification
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
128
136
0
09 Jan 2021
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