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Effective Transfer Learning for Identifying Similar Questions: Matching
  User Questions to COVID-19 FAQs

Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs

4 August 2020
Clara H. McCreery
Namit Katariya
A. Kannan
Manish Chablani
X. Amatriain
    MedIm
    OOD
ArXivPDFHTML

Papers citing "Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs"

19 / 19 papers shown
Title
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
77
14
0
28 Jan 2025
KisanQRS: A Deep Learning-based Automated Query-Response System for
  Agricultural Decision-Making
KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making
Mohammad Zia Ur Rehman
Devraj Raghuvanshi
Nagendra Kumar
27
7
0
26 Oct 2024
MedINST: Meta Dataset of Biomedical Instructions
MedINST: Meta Dataset of Biomedical Instructions
Wenhan Han
Meng Fang
Zihan Zhang
Yu Yin
Zirui Song
Ling-Hao Chen
Mykola Pechenizkiy
Qingyu Chen
LM&MA
38
2
0
17 Oct 2024
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology
  Datasets with Foundational Embedding Models
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
Aakash Tripathi
Asim Waqas
Yasin Yilmaz
Ghulam Rasool
38
5
0
13 May 2024
BMRetriever: Tuning Large Language Models as Better Biomedical Text
  Retrievers
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
Ran Xu
Wenqi Shi
Yue Yu
Yuchen Zhuang
Yanqiao Zhu
M. D. Wang
Joyce C. Ho
Chao Zhang
Carl Yang
LM&MA
45
19
0
29 Apr 2024
Learning under Label Proportions for Text Classification
Learning under Label Proportions for Text Classification
Jatin Chauhan
Xiaoxuan Wang
Wei Wang
33
1
0
18 Oct 2023
In-Context Learning Learns Label Relationships but Is Not Conventional
  Learning
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Jannik Kossen
Y. Gal
Tom Rainforth
49
30
0
23 Jul 2023
Active Learning Principles for In-Context Learning with Large Language
  Models
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
37
39
0
23 May 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin
Q. Li
Ruochen Zhao
Shafiq Joty
VLM
LRM
28
15
0
16 Feb 2023
Different Tunes Played with Equal Skill: Exploring a Unified
  Optimization Subspace for Delta Tuning
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning
Jing Yi
Weize Chen
Yujia Qin
Yankai Lin
Ning Ding
Xu Han
Zhiyuan Liu
Maosong Sun
Jie Zhou
25
2
0
24 Oct 2022
Efficient Customer Service Combining Human Operators and Virtual Agents
Efficient Customer Service Combining Human Operators and Virtual Agents
Yaniv Oshrat
Y. Aumann
Tal Hollander
Oleg Maksimov
Anita Ostroumov
Natali Shechtman
Sarit Kraus
16
1
0
12 Sep 2022
Review of Natural Language Processing in Pharmacology
Review of Natural Language Processing in Pharmacology
D. Trajanov
Vangel Trajkovski
Makedonka Dimitrieva
Jovana Dobreva
Milos Jovanovik
Matej Klemen
Alevs vZagar
Marko Robnik-vSikonja
LM&MA
36
7
0
22 Aug 2022
Few-shot Adaptation Works with UnpredicTable Data
Few-shot Adaptation Works with UnpredicTable Data
Jun Shern Chan
Michael Pieler
Jonathan Jao
Jérémy Scheurer
Ethan Perez
38
5
0
01 Aug 2022
Eliciting and Understanding Cross-Task Skills with Task-Level
  Mixture-of-Experts
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts
Qinyuan Ye
Juan Zha
Xiang Ren
MoE
23
12
0
25 May 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label
  Demonstrations
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Kang Min Yoo
Junyeob Kim
Sungmin Cho
Hyunsoo Cho
Hwiyeol Jo
Sang-Woo Lee
Sang-goo Lee
Taeuk Kim
33
123
0
25 May 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding
Yujia Qin
Guang Yang
Fu Wei
Zonghan Yang
...
Jianfei Chen
Yang Liu
Jie Tang
Juan Li
Maosong Sun
44
197
0
14 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAG
LRM
81
1,409
0
25 Feb 2022
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
77
473
0
29 Oct 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
225
180
0
18 Apr 2021
1