Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions

24 February 2025

Papers citing "Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions"

9 / 9 papers shown

Title
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 107 2 0 08 Apr 2025
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts Shrey Gupta Anmol Agarwal Manas Gaur Kaushik Roy Vignesh Narayanan Ponnurangam Kumaraguru Amit P. Sheth AI4MH 44 34 0 27 May 2022
What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys Yubin Ge Ziang Xiao Jana Diesner Heng Ji Karrie Karahalios Hari Sundaram 63 13 0 23 May 2022
Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask Bilal Ghanem Lauren Lutz Coleman Julia Rivard Dexter Spencer McIntosh von der Ohe Alona Fyshe AI4Ed 38 30 0 06 Apr 2022
Zero-shot Fact Verification by Claim Generation Liangming Pan Wenhu Chen Wenhan Xiong Min-Yen Kan Wenjie Wang 64 58 0 31 May 2021
Semantic Graphs for Generating Deep Questions Liangming Pan Yuxi Xie Yansong Feng Tat-Seng Chua Min-Yen Kan 68 94 0 27 Apr 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.2K 12,181 0 27 Aug 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 295 5,791 0 21 Apr 2019
Learning to Ask: Neural Question Generation for Reading Comprehension Xinya Du Junru Shao Claire Cardie 3DV 143 664 0 29 Apr 2017