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References (51)

[1]
Attention Guided Alignment in Efficient Vision-Language Models
2025Shweta Mahajan, Hoang Le et al.
[2]
Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models
2025Xiaojie Yin, Qilong Wang et al.
[3]
Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model
2025Shiming Chen, Bowen Duan et al.
[4]
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
2025Zesheng Ye, C. Cai et al.
[5]
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
2025C. Cai, Zesheng Ye et al.
[6]
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
2025Lincan Cai, Jingxuan Kang et al.
[7]
Generalizable Prompt Learning of CLIP: A Brief Overview
2025Fangming Cui, Yonggang Zhang et al.
[8]
Attribute-based Visual Reprogramming for Image Classification with CLIP
2025C. Cai, Zesheng Ye et al.
[9]
Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection
2025Jie Yan, Xiaoyuan Guan et al.
[10]
Bayesian-guided Label Mapping for Visual Reprogramming
2024C. Cai, Zesheng Ye et al.
[11]
LightRAG: Simple and Fast Retrieval-Augmented Generation
2024Zirui Guo, Lianghao Xia et al.
[12]
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
2024Yue Yu, Wei Ping et al.
[13]
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
2024Jinhao Li, Haopeng Li et al.
[14]
Sample-specific Masks for Visual Reprogramming-based Prompting
2024C. Cai, Zesheng Ye et al.
[15]
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
2024Chi-Min Chan, Chunpu Xu et al.
[16]
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
2023Karsten Roth, Jae Myung Kim et al.
[17]
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models
2023Korawat Tanwisuth, Shujian Zhang et al.
[18]
π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
2023Chengyue Wu, Teng Wang et al.
[19]
Sigmoid Loss for Language Image Pre-Training
2023Xiaohua Zhai, Basil Mustafa et al.
[20]
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
2022Zhongzhi Chen, Guangyi Liu et al.

Showing 20 of 51 references

Founder's Pitch

"Optimize vision-language models by refining text and image inputs for better text-visual alignment."

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