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What should I Ask: A Knowledge-driven Approach for Follow-up Questions
  Generation in Conversational Surveys
v1v2 (latest)

What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys

23 May 2022
Yubin Ge
Ziang Xiao
Jana Diesner
Heng Ji
Karrie Karahalios
Hari Sundaram
ArXiv (abs)PDFHTML

Papers citing "What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys"

11 / 11 papers shown
Title
From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM
From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM
Jianyu Liu
Yi Huang
Sheng Bi
Junlan Feng
Guilin Qi
137
2
0
08 Apr 2025
Follow-up Question Generation For Enhanced Patient-Provider Conversations
Follow-up Question Generation For Enhanced Patient-Provider Conversations
Joseph Gatto
Parker Seegmiller
Timothy E. Burdick
Inas S. Khayal
Sarah DeLozier
S. Preum
LM&MAMedIm
121
0
0
21 Mar 2025
Telephone Surveys Meet Conversational AI: Evaluating a LLM-Based Telephone Survey System at Scale
Telephone Surveys Meet Conversational AI: Evaluating a LLM-Based Telephone Survey System at Scale
Max M. Lang
Sol Eskenazi
LM&MA
149
0
0
27 Feb 2025
Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions
Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions
Zhe Liu
Taekyu Kang
Haoran Wang
S. Alavi
Vered Shwartz
102
0
0
24 Feb 2025
A Career Interview Dialogue System using Large Language Model-based
  Dynamic Slot Generation
A Career Interview Dialogue System using Large Language Model-based Dynamic Slot Generation
Ekai Hashimoto
Mikio Nakano
Takayoshi Sakurai
Shun Shiramatsu
Toshitake Komazaki
Shiho Tsuchiya
81
0
0
22 Dec 2024
Follow-Up Questions Improve Documents Generated by Large Language Models
Follow-Up Questions Improve Documents Generated by Large Language Models
Bernadette J Tix
63
0
0
27 Jun 2024
Making Task-Oriented Dialogue Datasets More Natural by Synthetically
  Generating Indirect User Requests
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests
Amogh Mannekote
Jinseok Nam
Ziming Li
Jian Gao
K. Boyer
Bonnie J. Dorr
96
1
0
12 Jun 2024
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI
  Experts and Clients
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients
Dae Hyun Kim
Hyungyu Shin
Shakhnozakhon Yadgarova
J. Son
Hariharan Subramonyam
Juho Kim
68
3
0
14 Feb 2024
Mind the Gap Between Conversations for Improved Long-Term Dialogue
  Generation
Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation
Qiang Zhang
Jason Naradowsky
Yusuke Miyao
45
10
0
24 Oct 2023
Learning to Retrieve Engaging Follow-Up Queries
Learning to Retrieve Engaging Follow-Up Queries
Christopher Richardson
Sudipta Kar
Anjishnu Kumar
Anand Ramachandran
O. Khan
Zeynab Raeesy
A. Sethy
43
2
0
21 Feb 2023
Inform the uninformed: Improving Online Informed Consent Reading with an
  AI-Powered Chatbot
Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot
Ziang Xiao
T. Li
Karrie Karahalios
Hari Sundaram
45
36
0
02 Feb 2023
1