conftrace_

vision-language model

2348 papers

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Also known as

VLM VL MODEL VLMS

Co-occurring keywords

multimodal learning (4645) zero-shot learning (3650) vision language model (767) contrastive learning (4032) large language model (13587) visual question answering (1017) transfer learning (5449) few-shot learning (3398) knowledge distillation (3725) semantic segmentation (3186)

Papers

Needle In A Multimodal Haystack NIPS 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models NIPS 2024
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt IJCAI 2024
TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning NIPS 2024
MoVA: Adapting Mixture of Vision Experts to Multimodal Context NIPS 2024
Private Attribute Inference from Images with Vision-Language Models NIPS 2024
Developmentally Plausible Multimodal Language Models Are Highly Modular CONLL 2024
MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations NIPS 2024
Membership Inference Attacks against Large Vision-Language Models NIPS 2024
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models NIPS 2024
Examining Gender and Racial Bias in Large Vision–Language Models Using a Novel Dataset of Parallel Images EACL 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NIPS 2024
CLIPAG: Towards Generator-Free Text-to-Image Generation WACV 2024
Exploiting CLIP for Zero-Shot HOI Detection Requires Knowledge Distillation at Multiple Levels WACV 2024
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models ACL 2024
ABM: Attention before Manipulation IJCAI 2024
FlexCap: Describe Anything in Images in Controllable Detail NIPS 2024
Image2Struct: Benchmarking Structure Extraction for Vision-Language Models NIPS 2024
Unveiling the Tapestry of Consistency in Large Vision-Language Models NIPS 2024
Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions NAACL 2024
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection NIPS 2024
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models NAACL 2024
Toward Interactive Regional Understanding in Vision-Large Language Models NAACL 2024
Towards Flexible Visual Relationship Segmentation NIPS 2024
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation NIPS 2024