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How Optimal is Greedy Decoding for Extractive Question Answering?
v1v2 (latest)

How Optimal is Greedy Decoding for Extractive Question Answering?

12 August 2021
Or Castel
Ori Ram
Avia Efrat
Omer Levy
ArXiv (abs)PDFHTML

Papers citing "How Optimal is Greedy Decoding for Extractive Question Answering?"

24 / 24 papers shown
Title
Learning to Retrieve Passages without Supervision
Learning to Retrieve Passages without Supervision
Ori Ram
Gal Shachaf
Omer Levy
Jonathan Berant
Amir Globerson
RALM
51
62
0
14 Dec 2021
FewshotQA: A simple framework for few-shot learning of question
  answering tasks using pre-trained text-to-text models
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models
Rakesh Chada
P. Natarajan
80
45
0
04 Sep 2021
ByT5: Towards a token-free future with pre-trained byte-to-byte models
ByT5: Towards a token-free future with pre-trained byte-to-byte models
Linting Xue
Aditya Barua
Noah Constant
Rami Al-Rfou
Sharan Narang
Mihir Kale
Adam Roberts
Colin Raffel
100
505
0
28 May 2021
True Few-Shot Learning with Language Models
True Few-Shot Learning with Language Models
Ethan Perez
Douwe Kiela
Kyunghyun Cho
137
439
0
24 May 2021
How Many Data Points is a Prompt Worth?
How Many Data Points is a Prompt Worth?
Teven Le Scao
Alexander M. Rush
VLM
160
302
0
15 Mar 2021
Few-Shot Question Answering by Pretraining Span Selection
Few-Shot Question Answering by Pretraining Span Selection
Ori Ram
Yuval Kirstain
Jonathan Berant
Amir Globerson
Omer Levy
85
97
0
02 Jan 2021
Reducing Quantity Hallucinations in Abstractive Summarization
Reducing Quantity Hallucinations in Abstractive Summarization
Zheng Zhao
Shay B. Cohen
Bonnie Webber
HILM
59
38
0
28 Sep 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
130
974
0
15 Sep 2020
Neural Machine Translation without Embeddings
Neural Machine Translation without Embeddings
Uri Shaham
Omer Levy
52
16
0
21 Aug 2020
Leveraging Passage Retrieval with Generative Models for Open Domain
  Question Answering
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Gautier Izacard
Edouard Grave
RALM
141
1,181
0
02 Jul 2020
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts
Colin Raffel
Noam M. Shazeer
KELM
130
893
0
10 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
348
1,617
0
21 Jan 2020
Coreference Resolution as Query-based Span Prediction
Coreference Resolution as Query-based Span Prediction
Wei Wu
Fei Wang
Arianna Yuan
Leilei Gan
Jiwei Li
LRM
84
180
0
05 Nov 2019
A Unified MRC Framework for Named Entity Recognition
A Unified MRC Framework for Named Entity Recognition
Xiaoya Li
Jingrong Feng
Yuxian Meng
Qinghong Han
Leilei Gan
Jiwei Li
80
637
0
25 Oct 2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading
  Comprehension
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
Adam Fisch
Alon Talmor
Robin Jia
Minjoon Seo
Eunsol Choi
Danqi Chen
74
307
0
22 Oct 2019
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
188
2,694
0
25 Sep 2018
SentencePiece: A simple and language independent subword tokenizer and
  detokenizer for Neural Text Processing
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
Taku Kudo
John Richardson
204
3,528
0
19 Aug 2018
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam M. Shazeer
Mitchell Stern
ODL
84
1,051
0
11 Apr 2018
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
RALM
228
2,686
0
09 May 2017
SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
Matthew Dunn
Levent Sagun
Mike Higgins
V. U. Güney
Volkan Cirik
Kyunghyun Cho
RALM
101
456
0
18 Apr 2017
NewsQA: A Machine Comprehension Dataset
NewsQA: A Machine Comprehension Dataset
Adam Trischler
Tong Wang
Xingdi Yuan
Justin Harris
Alessandro Sordoni
Philip Bachman
Kaheer Suleman
106
893
0
29 Nov 2016
Bidirectional Attention Flow for Machine Comprehension
Bidirectional Attention Flow for Machine Comprehension
Minjoon Seo
Aniruddha Kembhavi
Ali Farhadi
Hannaneh Hajishirzi
133
2,091
0
05 Nov 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
316
8,169
0
16 Jun 2016
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
228
7,757
0
31 Aug 2015
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