Are Bigger Encoders Always Better in Vision Large Models?
Paper • 2408.00620 • Published
Bozhou Li
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authored a paper 6 days ago
Are Bigger Encoders Always Better in Vision Large Models? authored a paper 6 days ago
GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion ModelsOrganizations
authored 9
papers 6 days ago
The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-based Code Generation
Paper • 2411.06774 • Published
GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models
Paper • 2512.15560 • Published • 25
The Unseen Bias: How Norm Discrepancy in Pre-Norm MLLMs Leads to Visual Information Loss
Paper • 2512.08374 • Published
DiaDem: Advancing Dialogue Descriptions in Audiovisual Video Captioning for Multimodal Large Language Models
Paper • 2601.19267 • Published
Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks
Paper • 2602.01630 • Published • 50
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models
Paper • 2602.04804 • Published • 50
Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers
Paper • 2602.03510 • Published • 27
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models
Paper • 2604.04707 • Published • 200
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