BLINK: Multimodal Large Language Models Can See but Not Perceive Paper • 2404.12390 • Published Apr 18 • 24
TextSquare: Scaling up Text-Centric Visual Instruction Tuning Paper • 2404.12803 • Published Apr 19 • 29
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models Paper • 2404.13013 • Published Apr 19 • 30
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD Paper • 2404.06512 • Published Apr 9 • 29
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs Paper • 2404.05719 • Published Apr 8 • 80
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding Paper • 2404.05726 • Published Apr 8 • 20
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens Paper • 2404.03413 • Published Apr 4 • 25
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI Paper • 2311.16502 • Published Nov 27, 2023 • 35
Kosmos-2: Grounding Multimodal Large Language Models to the World Paper • 2306.14824 • Published Jun 26, 2023 • 34
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Paper • 2404.16821 • Published Apr 25 • 53
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs Paper • 2404.16375 • Published Apr 25 • 16
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension Paper • 2404.16790 • Published Apr 25 • 7
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning Paper • 2404.16994 • Published Apr 25 • 35
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis Paper • 2405.21075 • Published May 31 • 18
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions Paper • 2406.04325 • Published Jun 6 • 71
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels Paper • 2406.09415 • Published Jun 13 • 50
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding Paper • 2406.09411 • Published Jun 13 • 18
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models Paper • 2406.09403 • Published Jun 13 • 19
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus Paper • 2406.08707 • Published Jun 13 • 15
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs Paper • 2406.11833 • Published Jun 17 • 61
VideoLLM-online: Online Video Large Language Model for Streaming Video Paper • 2406.11816 • Published Jun 17 • 20
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation Paper • 2406.09961 • Published Jun 14 • 54
Wolf: Captioning Everything with a World Summarization Framework Paper • 2407.18908 • Published Jul 26 • 30
Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model Paper • 2408.00754 • Published Aug 1 • 21
LongVILA: Scaling Long-Context Visual Language Models for Long Videos Paper • 2408.10188 • Published Aug 19 • 51
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation Paper • 2408.12528 • Published Aug 22 • 50
VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges Paper • 2409.01071 • Published Sep 2 • 26
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution Paper • 2409.12191 • Published Sep 18 • 73
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness Paper • 2409.18125 • Published Sep 26 • 33
OmniBench: Towards The Future of Universal Omni-Language Models Paper • 2409.15272 • Published Sep 23 • 25