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. 2310.03368
  4. Cited By
Evaluating Hallucinations in Chinese Large Language Models

Evaluating Hallucinations in Chinese Large Language Models

5 October 2023
Qinyuan Cheng
Tianxiang Sun
Wenwei Zhang
Siyin Wang
Xiangyang Liu
Mozhi Zhang
Junliang He
Mianqiu Huang
Zhangyue Yin
Kai Chen
Xipeng Qiu
    HILM
    ELM
ArXivPDFHTML

Papers citing "Evaluating Hallucinations in Chinese Large Language Models"

11 / 11 papers shown
Title
OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
Zhangcheng Qiang
Kerry Taylor
Weiqing Wang
Jing Jiang
52
0
0
25 Mar 2025
Iterative Tree Analysis for Medical Critics
Iterative Tree Analysis for Medical Critics
Zenan Huang
Mingwei Li
Zheng Zhou
Youxin Jiang
65
0
0
18 Jan 2025
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
67
45
0
23 Apr 2024
UrbanKGent: A Unified Large Language Model Agent Framework for Urban
  Knowledge Graph Construction
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
Yansong NING
Hao Liu
LLMAG
27
2
0
10 Feb 2024
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
M. Abouheaf
W. Gueaieb
Md. Suruz Miah
D. Spinello
Xipeng Qiu
54
37
0
03 May 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for
  Generative Large Language Models
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul
Adian Liusie
Mark J. F. Gales
HILM
LRM
150
390
0
15 Mar 2023
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng-Zhen Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
242
1,070
0
05 Oct 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
303
11,881
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,402
0
28 Jan 2022
Truthful AI: Developing and governing AI that does not lie
Truthful AI: Developing and governing AI that does not lie
Owain Evans
Owen Cotton-Barratt
Lukas Finnveden
Adam Bales
Avital Balwit
Peter Wills
Luca Righetti
William Saunders
HILM
226
109
0
13 Oct 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
241
1,444
0
18 Mar 2020
1