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. 2309.16459
  4. Cited By
Augmenting LLMs with Knowledge: A survey on hallucination prevention

Augmenting LLMs with Knowledge: A survey on hallucination prevention

28 September 2023
Shaocong Long
Lizhuang Ma
    KELM
    RALM
    HILM
ArXivPDFHTML

Papers citing "Augmenting LLMs with Knowledge: A survey on hallucination prevention"

16 / 16 papers shown
Title
Future Research Avenues for Artificial Intelligence in Digital Gaming:
  An Exploratory Report
Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report
Markus Dablander
75
0
0
18 Dec 2024
Comparing Criteria Development Across Domain Experts, Lay Users, and
  Models in Large Language Model Evaluation
Comparing Criteria Development Across Domain Experts, Lay Users, and Models in Large Language Model Evaluation
Annalisa Szymanski
Simret Araya Gebreegziabher
Oghenemaro Anuyah
Ronald A Metoyer
T. Li
ALM
ELM
32
6
0
02 Oct 2024
Logically Consistent Language Models via Neuro-Symbolic Integration
Logically Consistent Language Models via Neuro-Symbolic Integration
Diego Calanzone
Stefano Teso
Antonio Vergari
LRM
76
6
0
09 Sep 2024
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective
  Rationales
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Tianyang Xu
Shujin Wu
Shizhe Diao
Xiaoze Liu
Xingyao Wang
Yangyi Chen
Jing Gao
LRM
29
27
0
31 May 2024
A Comprehensive Overview of Large Language Models (LLMs) for Cyber
  Defences: Opportunities and Directions
A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions
Mohammed Hassanin
Nour Moustafa
36
26
0
23 May 2024
Understanding Privacy Risks of Embeddings Induced by Large Language
  Models
Understanding Privacy Risks of Embeddings Induced by Large Language Models
Zhihao Zhu
Ninglu Shao
Defu Lian
Chenwang Wu
Zheng Liu
Yi Yang
Enhong Chen
35
0
0
25 Apr 2024
Enhancing Trust in Autonomous Agents: An Architecture for Accountability
  and Explainability through Blockchain and Large Language Models
Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models
Laura Fernández-Becerra
Miguel Ángel González Santamarta
Ángel Manuel Guerrero Higueras
Francisco J. Rodríguez-Lera
Vicente Matellán Olivera
34
0
0
14 Mar 2024
LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK
  Case Law Dataset
LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset
Ahmed Izzidien
Holli Sargeant
Felix Steffek
AILaw
ELM
34
7
0
04 Mar 2024
Had enough of experts? Quantitative knowledge retrieval from large language models
Had enough of experts? Quantitative knowledge retrieval from large language models
David Selby
Kai Spriestersbach
Yuichiro Iwashita
Dennis Bappert
Archana Warrier
Sumantrak Mukherjee
M. Asim
Koichi Kise
Sebastian Vollmer
41
0
0
12 Feb 2024
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over
  Knowledge Graphs
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs
Ruijie Wang
Luca Rossetto
Michael Cochez
Abraham Bernstein
17
0
0
04 Dec 2023
Examining LLMs' Uncertainty Expression Towards Questions Outside
  Parametric Knowledge
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
Genglin Liu
Xingyao Wang
Lifan Yuan
Yangyi Chen
Hao Peng
29
16
0
16 Nov 2023
A Knowledge Engineering Primer
A Knowledge Engineering Primer
Agnieszka Lawrynowicz
27
0
0
26 May 2023
"According to ...": Prompting Language Models Improves Quoting from
  Pre-Training Data
"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
Orion Weller
Marc Marone
Nathaniel Weir
Dawn J Lawrie
Daniel Khashabi
Benjamin Van Durme
HILM
70
44
0
22 May 2023
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
145
116
0
24 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
313
11,915
0
04 Mar 2022
Internet-Augmented Dialogue Generation
Internet-Augmented Dialogue Generation
M. Komeili
Kurt Shuster
Jason Weston
RALM
235
280
0
15 Jul 2021
1