large vision-language model

Multi-Object Hallucination in Vision Language Models NeurIPS 2024 MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? EMNLP 2024 OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM CVPR 2024 Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models NeurIPS 2024 Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models ICML 2024 SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models CVPR 2024 SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes SemEval 2024 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information EMNLP 2024 THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models CVPR 2024 Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models NeurIPS 2024 VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models ACL 2024 VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment EMNLP 2024 Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories ICCV 2023 Exploring Question Decomposition for Zero-Shot VQA NeurIPS 2023