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Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
v1v2 (latest)

Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP

19 January 2025
J. Park
Jungbeom Lee
Jongyoon Song
Sangwon Yu
Dahuin Jung
Sungroh Yoon
ArXiv (abs)PDFHTML

Papers citing "Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP"

45 / 45 papers shown
Title
Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding
Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding
Yeonkyoung So
Gyuseong Lee
Sungmok Jung
Joonhak Lee
JiA Kang
Sangho Kim
Jaejin Lee
28
0
0
17 Jun 2025
Hypothesis Testing in Imaging Inverse Problems
Hypothesis Testing in Imaging Inverse Problems
Yiming Xi
K. Zygalakis
Marcelo Pereyra
49
0
0
28 May 2025
TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP
TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP
Yuliang Cai
Jesse Thomason
Mohammad Rostami
VLM
17
0
0
24 May 2025
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via
  Negations
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations
Jaisidh Singh
Ishaan Shrivastava
Mayank Vatsa
Richa Singh
Aparna Bharati
VLMCoGe
86
20
0
29 Mar 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in
  RKHSs
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
Sepehr Dehdashtian
Lan Wang
Vishnu Boddeti
VLM
89
15
0
22 Mar 2024
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style
  Models on Dense Captions
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Jack Urbanek
Florian Bordes
Pietro Astolfi
Mary Williamson
Vasu Sharma
Adriana Romero Soriano
CLIP3DV
93
48
0
14 Dec 2023
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Zeyi Sun
Ye Fang
Tong Wu
Pan Zhang
Yuhang Zang
Shu Kong
Yuanjun Xiong
Dahua Lin
Jiaqi Wang
VLMCLIP
124
91
0
06 Dec 2023
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP
  Limitations
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations
Lei Fan
Jianxiong Zhou
Xiaoying Xing
Ying Wu
VLM
73
4
0
28 Nov 2023
Self-correcting LLM-controlled Diffusion Models
Self-correcting LLM-controlled Diffusion Models
Tsung-Han Wu
Long Lian
Joseph E. Gonzalez
Boyi Li
Trevor Darrell
127
67
0
27 Nov 2023
This is not a Dataset: A Large Negation Benchmark to Challenge Large
  Language Models
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
Iker García-Ferrero
Begoña Altuna
J. Álvez
Itziar Gonzalez-Dios
German Rigau
45
17
0
24 Oct 2023
Improved Baselines with Visual Instruction Tuning
Improved Baselines with Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Yuheng Li
Yong Jae Lee
VLMMLLM
237
2,830
0
05 Oct 2023
Aligning Large Multimodal Models with Factually Augmented RLHF
Aligning Large Multimodal Models with Factually Augmented RLHF
Zhiqing Sun
Sheng Shen
Shengcao Cao
Haotian Liu
Chunyuan Li
...
Liangyan Gui
Yu-Xiong Wang
Yiming Yang
Kurt Keutzer
Trevor Darrell
VLM
134
396
0
25 Sep 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Hualiang Wang
Yi Li
Huifeng Yao
Xuelong Li
VLMOODD
131
107
0
23 Aug 2023
The All-Seeing Project: Towards Panoptic Visual Recognition and
  Understanding of the Open World
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
Weiyun Wang
Min Shi
Qingyun Li
Wen Wang
Zhenhang Huang
...
Zhiguo Cao
Yushi Chen
Tong Lu
Jifeng Dai
Yu Qiao
LRMMLLM
133
88
0
03 Aug 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image
  Synthesis
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell
Zion English
Kyle Lacey
A. Blattmann
Tim Dockhorn
Jonas Muller
Joe Penna
Robin Rombach
302
2,457
0
04 Jul 2023
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image
  Diffusion Models with Large Language Models
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Long Lian
Boyi Li
Adam Yala
Trevor Darrell
106
164
0
23 May 2023
Evaluating Object Hallucination in Large Vision-Language Models
Evaluating Object Hallucination in Large Vision-Language Models
Yifan Li
Yifan Du
Kun Zhou
Jinpeng Wang
Wayne Xin Zhao
Ji-Rong Wen
MLLMLRM
346
815
0
17 May 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasets
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
118
452
0
27 Apr 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDaVLMMLLM
582
4,945
0
17 Apr 2023
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation
  with Question Answering
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
Yushi Hu
Benlin Liu
Jungo Kasai
Yizhong Wang
Mari Ostendorf
Ranjay Krishna
Noah A. Smith
EGVM
87
239
0
21 Mar 2023
Reproducible scaling laws for contrastive language-image learning
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti
Romain Beaumont
Ross Wightman
Mitchell Wortsman
Gabriel Ilharco
Cade Gordon
Christoph Schuhmann
Ludwig Schmidt
J. Jitsev
VLMCLIP
139
823
0
14 Dec 2022
CREPE: Can Vision-Language Foundation Models Reason Compositionally?
CREPE: Can Vision-Language Foundation Models Reason Compositionally?
Zixian Ma
Jerry Hong
Mustafa Omer Gul
Mona Gandhi
Irena Gao
Ranjay Krishna
CoGe
94
142
0
13 Dec 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
231
3,520
0
16 Oct 2022
When and why vision-language models behave like bags-of-words, and what
  to do about it?
When and why vision-language models behave like bags-of-words, and what to do about it?
Mert Yuksekgonul
Federico Bianchi
Pratyusha Kalluri
Dan Jurafsky
James Zou
VLMCoGe
150
394
0
04 Oct 2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal
  Skip-connections
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Chenliang Li
Haiyang Xu
Junfeng Tian
Wei Wang
Ming Yan
...
Ji Zhang
Songfang Huang
Feiran Huang
Jingren Zhou
Luo Si
VLMMLLM
93
224
0
24 May 2022
Learn to Understand Negation in Video Retrieval
Learn to Understand Negation in Video Retrieval
Ziyue Wang
Aozhu Chen
Fan Hu
Xirong Li
SSL
115
13
0
30 Apr 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
Guosheng Lin
MLLMBDLVLMCLIP
571
4,434
0
28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
600
15,845
0
20 Dec 2021
Image Segmentation Using Text and Image Prompts
Image Segmentation Using Text and Image Prompts
Timo Lüddecke
Alexander S. Ecker
CLIPVLM
155
477
0
18 Dec 2021
VALSE: A Task-Independent Benchmark for Vision and Language Models
  Centered on Linguistic Phenomena
VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
Letitia Parcalabescu
Michele Cafagna
Lilitta Muradjan
Anette Frank
Iacer Calixto
Albert Gatt
CoGe
104
118
0
14 Dec 2021
Florence: A New Foundation Model for Computer Vision
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
176
907
0
22 Nov 2021
Align before Fuse: Vision and Language Representation Learning with
  Momentum Distillation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li
Ramprasaath R. Selvaraju
Akhilesh Deepak Gotmare
Shafiq Joty
Caiming Xiong
Guosheng Lin
FaML
249
1,984
0
16 Jul 2021
Understanding by Understanding Not: Modeling Negation in Language Models
Understanding by Understanding Not: Modeling Negation in Language Models
Arian Hosseini
Siva Reddy
Dzmitry Bahdanau
R. Devon Hjelm
Alessandro Sordoni
Rameswar Panda
98
90
0
07 May 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.1K
30,032
0
26 Feb 2021
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
428
5,015
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
VLMCLIP
513
3,911
0
11 Feb 2021
PhraseCut: Language-based Image Segmentation in the Wild
PhraseCut: Language-based Image Segmentation in the Wild
Chenyun Wu
Zhe Lin
Scott D. Cohen
Trung Bui
Subhransu Maji
VLM
70
115
0
03 Aug 2020
NegBERT: A Transfer Learning Approach for Negation Detection and Scope
  Resolution
NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution
Aditya P. Khandelwal
S. Sawant
88
86
0
11 Nov 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
360
10,385
0
10 Jul 2018
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
393
3,275
0
02 Dec 2016
Modeling Context in Referring Expressions
Modeling Context in Referring Expressions
Licheng Yu
Patrick Poirson
Shan Yang
Alexander C. Berg
Tamara L. Berg
135
1,281
0
31 Jul 2016
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
278
5,523
0
03 May 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
272
8,442
0
28 Nov 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,705
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
479
43,961
0
01 May 2014
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