ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.01898
  4. Cited By
Probabilistic Assumptions Matter: Improved Models for
  Distantly-Supervised Document-Level Question Answering

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

5 May 2020
Hao Cheng
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
ArXivPDFHTML

Papers citing "Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering"

5 / 5 papers shown
Title
Open-domain Question Answering via Chain of Reasoning over Heterogeneous
  Knowledge
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge
Kaixin Ma
Hao Cheng
Xiaodong Liu
Eric Nyberg
Jianfeng Gao
LRM
144
15
0
22 Oct 2022
Introspective Distillation for Robust Question Answering
Introspective Distillation for Robust Question Answering
Yulei Niu
Hanwang Zhang
27
59
0
01 Nov 2021
Distantly-Supervised Evidence Retrieval Enables Question Answering
  without Evidence Annotation
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation
Chen Zhao
Chenyan Xiong
Jordan L. Boyd-Graber
Hal Daumé
RALM
29
9
0
10 Oct 2021
It is AI's Turn to Ask Humans a Question: Question-Answer Pair
  Generation for Children's Story Books
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books
Bingsheng Yao
Dakuo Wang
Tongshuang Wu
Zheng Zhang
Toby Jia-Jun Li
Mo Yu
Ying Xu
AI4Ed
23
43
0
08 Sep 2021
Pruning the Index Contents for Memory Efficient Open-Domain QA
Pruning the Index Contents for Memory Efficient Open-Domain QA
Martin Fajcik
Martin Docekal
Karel Ondrej
Pavel Smrz
29
8
0
21 Feb 2021
1