ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.07772
  4. Cited By
Do Answers to Boolean Questions Need Explanations? Yes

Do Answers to Boolean Questions Need Explanations? Yes

14 December 2021
Sara Rosenthal
Mihaela A. Bornea
Avirup Sil
Radu Florian
Scott McCarley
ArXiv (abs)PDFHTML

Papers citing "Do Answers to Boolean Questions Need Explanations? Yes"

6 / 6 papers shown
Title
Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
Rafael Rosales
Santiago Miret
96
0
0
25 Jul 2025
Controllable Decontextualization of Yes/No Question and Answers into
  Factual Statements
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements
Lingbo Mo
B. Fetahu
Oleg Rokhlenko
S. Malmasi
170
1
0
18 Jan 2024
Faithful Question Answering with Monte-Carlo Planning
Faithful Question Answering with Monte-Carlo PlanningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Ruixin Hong
Hongming Zhang
Honghui Zhao
Dong Yu
Changshui Zhang
ReLMLRM
317
24
0
04 May 2023
GAAMA 2.0: An Integrated System that Answers Boolean and Extractive
  Questions
GAAMA 2.0: An Integrated System that Answers Boolean and Extractive QuestionsAAAI Conference on Artificial Intelligence (AAAI), 2022
Scott McCarley
Mihaela A. Bornea
Sara Rosenthal
Anthony Ferritto
Md Arafat Sultan
Avirup Sil
Radu Florian
136
1
0
16 Jun 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer
  Explanation
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong
Hongming Zhang
Xintong Yu
Changshui Zhang
ReLMLRM
181
37
0
05 May 2022
TyDi QA: A Benchmark for Information-Seeking Question Answering in
  Typologically Diverse Languages
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse LanguagesTransactions of the Association for Computational Linguistics (TACL), 2020
J. Clark
Eunsol Choi
Michael Collins
Dan Garrette
Tom Kwiatkowski
Vitaly Nikolaev
J. Palomaki
524
683
0
10 Mar 2020
1