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Probing Multimodal Embeddings for Linguistic Properties: the
  Visual-Semantic Case

Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case

22 February 2021
Adam Dahlgren Lindström
Suna Bensch
Johanna Björklund
F. Drewes
ArXivPDFHTML

Papers citing "Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case"

16 / 16 papers shown
Title
Quantifying Interpretability in CLIP Models with Concept Consistency
Avinash Madasu
Vasudev Lal
Phillip Howard
VLM
69
0
0
14 Mar 2025
Towards Human Cognition: Visual Context Guides Syntactic Priming in Fusion-Encoded Models
Towards Human Cognition: Visual Context Guides Syntactic Priming in Fusion-Encoded Models
Bushi Xiao
Michael Bennie
Jayetri Bardhan
Daisy Zhe Wang
45
0
0
24 Feb 2025
Explainable and Interpretable Multimodal Large Language Models: A
  Comprehensive Survey
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
S. Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
101
15
0
03 Dec 2024
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based
  Language Models
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models
Kushal Tatariya
Vladimir Araujo
Thomas Bauwens
Miryam de Lhoneux
VLM
33
0
0
15 Oct 2024
Quantifying and Enabling the Interpretability of CLIP-like Models
Quantifying and Enabling the Interpretability of CLIP-like Models
Avinash Madasu
Yossi Gandelsman
Vasudev Lal
Phillip Howard
VLM
48
2
0
10 Sep 2024
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and
  Language Resamplers
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
Georgios Pantazopoulos
Alessandro Suglia
Oliver Lemon
Arash Eshghi
VLM
40
4
0
21 Apr 2024
Probing Multimodal Large Language Models for Global and Local Semantic
  Representations
Probing Multimodal Large Language Models for Global and Local Semantic Representations
Mingxu Tao
Quzhe Huang
Kun Xu
Liwei Chen
Yansong Feng
Dongyan Zhao
26
5
0
27 Feb 2024
Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times
  and Location Reasoning
Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning
Gengyuan Zhang
Yurui Zhang
Kerui Zhang
Volker Tresp
LRM
27
10
0
12 Jul 2023
Localization vs. Semantics: Visual Representations in Unimodal and
  Multimodal Models
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models
Zhuowan Li
Cihang Xie
Benjamin Van Durme
Alan L. Yuille
VLM
SSL
20
2
0
01 Dec 2022
Probing Cross-modal Semantics Alignment Capability from the Textual
  Perspective
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
Zheng Ma
Shi Zong
Mianzhi Pan
Jianbing Zhang
Shujian Huang
Xinyu Dai
Jiajun Chen
22
4
0
18 Oct 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAML
AI4CE
23
124
0
27 Jul 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting
  Vision-Language Transformers
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
Estelle Aflalo
Meng Du
Shao-Yen Tseng
Yongfei Liu
Chenfei Wu
Nan Duan
Vasudev Lal
27
45
0
30 Mar 2022
What Vision-Language Models `See' when they See Scenes
What Vision-Language Models `See' when they See Scenes
Michele Cafagna
Kees van Deemter
Albert Gatt
VLM
29
13
0
15 Sep 2021
Multimodal Co-learning: Challenges, Applications with Datasets, Recent
  Advances and Future Directions
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
Anil Rahate
Rahee Walambe
S. Ramanna
K. Kotecha
27
135
0
29 Jul 2021
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
207
1,654
0
16 Mar 2020
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
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