Are Bigger Encoders Always Better in Vision Large Models? Paper • 2408.00620 • Published Aug 1, 2024
The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-based Code Generation Paper • 2411.06774 • Published Nov 11, 2024
GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models Paper • 2512.15560 • Published Dec 17, 2025 • 25
The Unseen Bias: How Norm Discrepancy in Pre-Norm MLLMs Leads to Visual Information Loss Paper • 2512.08374 • Published Dec 9, 2025
DiaDem: Advancing Dialogue Descriptions in Audiovisual Video Captioning for Multimodal Large Language Models Paper • 2601.19267 • Published Jan 27
Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks Paper • 2602.01630 • Published Feb 2 • 50
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models Paper • 2602.04804 • Published Feb 4 • 50
Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers Paper • 2602.03510 • Published Feb 3 • 27
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models Paper • 2604.04707 • Published 4 days ago • 170
Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers Paper • 2602.03510 • Published Feb 3 • 27
GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models Paper • 2512.15560 • Published Dec 17, 2025 • 25
AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration Paper • 2510.10395 • Published Oct 12, 2025 • 31