vision-language model

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding ACL 2024 Mitigating Object Hallucination via Concentric Causal Attention NeurIPS 2024 Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding COLING 2024 MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning CVPR 2024 MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs NeurIPS 2024 MMA: Multi-Modal Adapter for Vision-Language Models CVPR 2024 MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024 MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning NAACL 2024 MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning ICLR 2024 MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations NeurIPS 2024 MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation NeurIPS 2024 MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI CVPR 2024 MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI ICML 2024 MMVQA: A Comprehensive Dataset for Investigating Multipage Multimodal Information Retrieval in PDF-based Visual Question Answering IJCAI 2024 MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding EMNLP 2024 Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs CoRL 2024 Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use CVPR 2024 MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting RSS 2024 Mol2Lang-VLM: Vision- and Text-Guided Generative Pre-trained Language Models for Advancing Molecule Captioning through Multimodal Fusion ACL 2024 MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NeurIPS 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric CVPR 2024 MoVA: Adapting Mixture of Vision Experts to Multimodal Context NeurIPS 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