Perturbation-based Active Learning for Question Answering

4 November 2023

Papers citing "Perturbation-based Active Learning for Question Answering"

10 / 10 papers shown

Title
Improving Question Answering Performance Using Knowledge Distillation and Active Learning Yasaman Boreshban Seyed Morteza Mirbostani Gholamreza Ghassem-Sani Seyed Abolghasem Mirroshandel Shahin Amiriparian 29 15 0 26 Sep 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 116 180 0 19 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 239 611 0 13 Oct 2020
Answering Complex Open-domain Questions Through Iterative Query Generation Peng Qi Xiaowen Lin L. Mehr Zijian Wang Christopher D. Manning RALM ReLM LRM 179 117 0 15 Oct 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale Yixin Nie Songhe Wang Joey Tianyi Zhou RALM 164 134 0 17 Sep 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 417 2,588 0 03 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 232 201 0 06 Jul 2017
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 178 3,510 0 10 Jun 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014