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The Devil is in the Details: Evaluating Limitations of Transformer-based
  Methods for Granular Tasks

The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks

International Conference on Computational Linguistics (COLING), 2020
2 November 2020
Brihi Joshi
Neil Shah
Francesco Barbieri
Leonardo Neves
ArXiv (abs)PDFHTML

Papers citing "The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks"

2 / 2 papers shown
Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
Sarina Xi
Orelia Pi
Miaomiao Zhang
Becca Xiong
Jacqueline Ng Lane
Nihar B. Shah
153
0
0
14 Oct 2025
Guiding Generative Language Models for Data Augmentation in Few-Shot
  Text Classification
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
A. Edwards
Asahi Ushio
Jose Camacho-Collados
Hélène de Ribaupierre
Alun D. Preece
VLM
281
30
0
17 Nov 2021
1
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