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SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and
  Lexical Alterations

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations

17 June 2024
Sri Harsha Dumpala
Aman Jaiswal
Chandramouli Shama Sastry
E. Milios
Sageev Oore
Hassan Sajjad
    CoGe
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Papers citing "SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations"

11 / 11 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
67
0
0
03 Mar 2025
CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
Reza Abbasi
Ali Nazari
Aminreza Sefid
Mohammadali Banayeeanzade
M. Rohban
M. Baghshah
VLM
65
1
0
27 Feb 2025
Sensitivity of Generative VLMs to Semantically and Lexically Altered
  Prompts
Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts
Sri Harsha Dumpala
Aman Jaiswal
Chandramouli Shama Sastry
E. Milios
Sageev Oore
Hassan Sajjad
VLM
11
2
0
16 Oct 2024
Generative Agents: Interactive Simulacra of Human Behavior
Generative Agents: Interactive Simulacra of Human Behavior
J. Park
Joseph C. O'Brien
Carrie J. Cai
Meredith Ringel Morris
Percy Liang
Michael S. Bernstein
LM&Ro
AI4CE
206
1,701
0
07 Apr 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
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
84
41
0
01 Nov 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel
Hritik Bansal
S. Bhatia
Ryan A. Rossi
Vishwa Vinay
Aditya Grover
CLIP
VLM
160
131
0
28 May 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
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1