Vision-Language Models

MoReVQA: Exploring Modular Reasoning Models for Video Question Answering CVPR 2024 mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration CVPR 2024 MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations ACL 2024 Multilingual Diversity Improves Vision-Language Representations NeurIPS 2024 Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering ACL 2024 Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models AAAI 2024 Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs EMNLP 2024 MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? EMNLP 2024 Non-autoregressive Sequence-to-Sequence Vision-Language Models CVPR 2024 No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance NeurIPS 2024 OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM CVPR 2024 On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning EMNLP 2024 One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024 One-Shot Open Affordance Learning with Foundation Models CVPR 2024 One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NeurIPS 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization ICLR 2024 OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning NeurIPS 2024 PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024 Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks ACL 2024 Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification EMNLP 2024 PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs CVPR 2024 Pixel-Aligned Language Model CVPR 2024 Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality EMNLP 2024 Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation ACL 2024