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Iterated Learning Improves Compositionality in Large Vision-Language
  Models

Iterated Learning Improves Compositionality in Large Vision-Language Models

2 April 2024
Chenhao Zheng
Jieyu Zhang
Aniruddha Kembhavi
Ranjay Krishna
    VLM
    CoGe
ArXivPDFHTML

Papers citing "Iterated Learning Improves Compositionality in Large Vision-Language Models"

4 / 4 papers shown
Title
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li
Boyang Li
CoGe
60
0
0
03 Mar 2025
Why is Winoground Hard? Investigating Failures in Visuolinguistic
  Compositionality
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality
Anuj Diwan
Layne Berry
Eunsol Choi
David F. Harwath
Kyle Mahowald
CoGe
73
41
0
01 Nov 2022
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
Iterated learning for emergent systematicity in VQA
Iterated learning for emergent systematicity in VQA
Ankit Vani
Max Schwarzer
Yucheng Lu
Eeshan Gunesh Dhekane
Aaron C. Courville
35
19
0
03 May 2021
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