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. 2310.07521
  4. Cited By
Survey on Factuality in Large Language Models: Knowledge, Retrieval and
  Domain-Specificity

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

11 October 2023
Cunxiang Wang
Xiaoze Liu
Yuanhao Yue
Xiangru Tang
Tianhang Zhang
Cheng Jiayang
Yunzhi Yao
Wenyang Gao
Xuming Hu
Zehan Qi
Yidong Wang
Linyi Yang
Jindong Wang
Xing Xie
Zheng-Wei Zhang
Yue Zhang
    HILM
    KELM
ArXivPDFHTML

Papers citing "Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity"

4 / 54 papers shown
Title
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
242
1,977
0
31 Dec 2020
Distilling Knowledge from Reader to Retriever for Question Answering
Distilling Knowledge from Reader to Retriever for Question Answering
Gautier Izacard
Edouard Grave
RALM
173
249
0
08 Dec 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,791
0
17 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
393
2,216
0
03 Sep 2019
Previous
12