Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering

15 May 2022

Papers citing "Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering"

6 / 6 papers shown

Title
An Empirical Investigation into the Effect of Parameter Choices in Knowledge Distillation Md Arafat Sultan Aashka Trivedi Parul Awasthy Avirup Sil 22 0 0 12 Jan 2024
Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset Owen Henkel Libby Hills Bill Roberts Joshua A. McGrane AI4Ed 19 1 0 26 Oct 2023
$Knowledge Distillation $\approx$ Label Smoothing: Fact or Fallacy?$ Knowledge Distillation $\approx$ Label Smoothing: Fact or Fallacy? Md Arafat Sultan 17 2 0 30 Jan 2023
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development Avirup Sil Jaydeep Sen Bhavani Iyer M. Franz Kshitij P. Fadnis ... Yulong Li Md Arafat Sultan Riyaz Ahmad Bhat Radu Florian Salim Roukos 12 4 0 23 Jan 2023
Improved Synthetic Training for Reading Comprehension Yanda Chen Md Arafat Sultan T. J. W. R. Center SyDa 11 5 0 24 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017