MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs Paper • 2503.13111 • Published Mar 17 • 7
DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation Paper • 2503.10618 • Published Mar 13 • 18
STIV: Scalable Text and Image Conditioned Video Generation Paper • 2412.07730 • Published Dec 10, 2024 • 75
Multimodal Autoregressive Pre-training of Large Vision Encoders Paper • 2411.14402 • Published Nov 21, 2024 • 47
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs Paper • 2401.00608 • Published Dec 31, 2023 • 2
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models Paper • 2410.02740 • Published Oct 3, 2024 • 55
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning Paper • 2409.20566 • Published Sep 30, 2024 • 57
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference Paper • 2407.14057 • Published Jul 19, 2024 • 46
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference Paper • 2407.14057 • Published Jul 19, 2024 • 46
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference Paper • 2407.14057 • Published Jul 19, 2024 • 46
Understanding Alignment in Multimodal LLMs: A Comprehensive Study Paper • 2407.02477 • Published Jul 2, 2024 • 24
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data Paper • 2404.15653 • Published Apr 24, 2024 • 30
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data Paper • 2404.15653 • Published Apr 24, 2024 • 30