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. 2405.19186
  4. Cited By
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification

MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification

29 May 2024
Laura Fieback
Jakob Spiegelberg
Hanno Gottschalk
    MLLM
ArXivPDFHTML

Papers citing "MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification"

11 / 11 papers shown
Title
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -
Laura Fieback
Nishilkumar Balar
Jakob Spiegelberg
Hanno Gottschalk
MLLM
VLM
73
0
0
16 Apr 2025
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
Hongcheng Gao
Jiashu Qu
Jingyi Tang
Baolong Bi
Y. Liu
Hongyu Chen
Li Liang
Li Su
Qingming Huang
MLLM
VLM
LRM
66
3
0
25 Mar 2025
A Survey on Multimodal Benchmarks: In the Era of Large AI Models
A Survey on Multimodal Benchmarks: In the Era of Large AI Models
Lin Li
Guikun Chen
Hanrong Shi
Jun Xiao
Long Chen
31
8
0
21 Sep 2024
DriveVLM: The Convergence of Autonomous Driving and Large
  Vision-Language Models
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
Xiaoyu Tian
Junru Gu
Bailin Li
Yicheng Liu
Yang Wang
Chenxu Hu
Kun Zhan
Peng Jia
Xianpeng Lang
Hang Zhao
VLM
59
122
0
19 Feb 2024
A Survey for Foundation Models in Autonomous Driving
A Survey for Foundation Models in Autonomous Driving
Haoxiang Gao
Yaqian Li
Kaiwen Long
Ming Yang
Yiqing Shen
VLM
LRM
47
22
0
02 Feb 2024
Mitigating Object Hallucinations in Large Vision-Language Models through
  Visual Contrastive Decoding
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng
Hang Zhang
Guanzheng Chen
Xin Li
Shijian Lu
Chunyan Miao
Li Bing
VLM
MLLM
82
196
0
28 Nov 2023
mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Qinghao Ye
Haiyang Xu
Guohai Xu
Jiabo Ye
Ming Yan
...
Junfeng Tian
Qiang Qi
Ji Zhang
Feiyan Huang
Jingren Zhou
VLM
MLLM
198
883
0
27 Apr 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
380
4,010
0
28 Jan 2022
A Token-level Reference-free Hallucination Detection Benchmark for
  Free-form Text Generation
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
209
140
0
18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
Neural Baby Talk
Neural Baby Talk
Jiasen Lu
Jianwei Yang
Dhruv Batra
Devi Parikh
VLM
186
412
0
27 Mar 2018
1