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Few-shot Reranking for Multi-hop QA via Language Model Prompting
v1v2v3 (latest)

Few-shot Reranking for Multi-hop QA via Language Model Prompting

25 May 2022
Muhammad Khalifa
Lajanugen Logeswaran
Moontae Lee
Ho Hin Lee
Lu Wang
    LRM
ArXiv (abs)PDFHTMLGithub (27★)

Papers citing "Few-shot Reranking for Multi-hop QA via Language Model Prompting"

38 / 38 papers shown
Title
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLMOSLMAI4CE
330
3,667
0
02 May 2022
Improving Passage Retrieval with Zero-Shot Question Generation
Improving Passage Retrieval with Zero-Shot Question Generation
Devendra Singh Sachan
M. Lewis
Mandar Joshi
Armen Aghajanyan
Wen-tau Yih
J. Pineau
Luke Zettlemoyer
OODLRM
95
165
0
15 Apr 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLMALM
874
12,973
0
04 Mar 2022
Learning to Retrieve Passages without Supervision
Learning to Retrieve Passages without Supervision
Ori Ram
Gal Shachaf
Omer Levy
Jonathan Berant
Amir Globerson
RALM
44
62
0
14 Dec 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
342
1,702
0
15 Oct 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALMUQCV
201
3,750
0
03 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLMSyDa
213
3,977
0
28 Jul 2021
Weakly Supervised Pre-Training for Multi-Hop Retriever
Weakly Supervised Pre-Training for Multi-Hop Retriever
Yeon Seonwoo
Sang-Woo Lee
Ji-Hoon Kim
Jung-Woo Ha
Alice Oh
RALM
56
8
0
18 Jun 2021
End-to-End Training of Multi-Document Reader and Retriever for
  Open-Domain Question Answering
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh Sachan
Siva Reddy
William L. Hamilton
Chris Dyer
Dani Yogatama
OODRALM
82
169
0
09 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
573
4,047
0
18 Apr 2021
Surface Form Competition: Why the Highest Probability Answer Isn't
  Always Right
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right
Ari Holtzman
Peter West
Vered Schwartz
Yejin Choi
Luke Zettlemoyer
LRM
103
238
0
16 Apr 2021
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval
Chen Zhao
Chenyan Xiong
Jordan L. Boyd-Graber
Hal Daumé
RALMLRM
56
32
0
13 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
391
1,967
0
31 Dec 2020
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
Shaobo Li
Xiaoguang Li
Lifeng Shang
Xin Jiang
Qun Liu
Chengjie Sun
Zhenzhou Ji
Bingquan Liu
RALM
72
32
0
31 Dec 2020
Few-Shot Text Generation with Pattern-Exploiting Training
Few-Shot Text Generation with Pattern-Exploiting Training
Timo Schick
Hinrich Schütze
93
147
0
22 Dec 2020
Distilling Knowledge from Reader to Retriever for Question Answering
Distilling Knowledge from Reader to Retriever for Question Answering
Gautier Izacard
Edouard Grave
RALM
241
264
0
08 Dec 2020
How Can We Know When Language Models Know? On the Calibration of
  Language Models for Question Answering
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
Zhengbao Jiang
Jun Araki
Haibo Ding
Graham Neubig
UQCV
60
434
0
02 Dec 2020
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of
  Reasoning Steps
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Xanh Ho
A. Nguyen
Saku Sugawara
Akiko Aizawa
RALMLRM
75
451
0
02 Nov 2020
Answering Open-Domain Questions of Varying Reasoning Steps from Text
Answering Open-Domain Questions of Varying Reasoning Steps from Text
Peng Qi
Haejun Lee
OghenetegiriTGSido
Christopher D. Manning
KELMRALMLRM
219
57
0
23 Oct 2020
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu
Junkun Chen
Louis-Pascal Xhonneux
Yoshua Bengio
Jian Tang
NAILRMAI4CE
74
171
0
08 Oct 2020
Beyond [CLS] through Ranking by Generation
Beyond [CLS] through Ranking by Generation
Cicero Nogueira dos Santos
Xiaofei Ma
Ramesh Nallapati
Zhiheng Huang
Bing Xiang
RALM
69
30
0
06 Oct 2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Wenhan Xiong
Xiang Lorraine Li
Srini Iyer
Jingfei Du
Patrick Lewis
...
Yashar Mehdad
Wen-tau Yih
Sebastian Riedel
Douwe Kiela
Barlas Oğuz
58
192
0
27 Sep 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
795
42,055
0
28 May 2020
Dense Passage Retrieval for Open-Domain Question Answering
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin
Barlas Oğuz
Sewon Min
Patrick Lewis
Ledell Yu Wu
Sergey Edunov
Danqi Chen
Wen-tau Yih
RALM
195
3,762
0
10 Apr 2020
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
288
300
0
17 Mar 2020
Document Ranking with a Pretrained Sequence-to-Sequence Model
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira
Zhiying Jiang
Jimmy J. Lin
76
583
0
14 Mar 2020
Differentiable Reasoning over a Virtual Knowledge Base
Differentiable Reasoning over a Virtual Knowledge Base
Bhuwan Dhingra
Manzil Zaheer
Vidhisha Balachandran
Graham Neubig
Ruslan Salakhutdinov
William W. Cohen
55
90
0
25 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
1,615
0
21 Jan 2020
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question
  Answering
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Akari Asai
Kazuma Hashimoto
Hannaneh Hajishirzi
R. Socher
Caiming Xiong
RALMKELMLRM
95
289
0
24 Nov 2019
Beyond temperature scaling: Obtaining well-calibrated multiclass
  probabilities with Dirichlet calibration
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull
Miquel Perelló Nieto
Markus Kängsepp
Telmo de Menezes e Silva Filho
Hao Song
Peter A. Flach
UQCV
73
381
0
28 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
439
20,181
0
23 Oct 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at
  Scale
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie
Songhe Wang
Joey Tianyi Zhou
RALM
205
138
0
17 Sep 2019
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question
  Answering
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering
Jinhyuk Lee
Seongjun Yun
Hyunjae Kim
Miyoung Ko
Jaewoo Kang
RALM
49
88
0
01 Oct 2018
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
171
2,655
0
25 Sep 2018
Training a Ranking Function for Open-Domain Question Answering
Training a Ranking Function for Open-Domain Question Answering
Phu Mon Htut
Samuel R. Bowman
Kyunghyun Cho
RALMOOD
71
49
0
12 Apr 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,833
0
14 Jun 2017
Reading Wikipedia to Answer Open-Domain Questions
Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen
Adam Fisch
Jason Weston
Antoine Bordes
RALM
114
2,015
0
31 Mar 2017
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
257
3,723
0
28 Feb 2017
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