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Found 6 papers, 2 papers with code
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models
In this study, we propose a data mining framework \textbf{ProLong} that can assign each training sample with a long dependency score, which can be used to rank and filter samples that are more advantageous for enhancing long-context modeling abilities in LLM training.
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
Delving into the modeling capabilities of diffusion models for images naturally prompts the question: Can diffusion models serve as the eyes of large language models for image perception?
VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue
Visually-grounded dialog systems, which integrate multiple modes of communication such as text and visual inputs, have become an increasingly popular area of investigation.
DiffusionTrack: Diffusion Model For Multi-Object Tracking
In inference, the model refines a set of paired randomly generated boxes to the detection and tracking results in a flexible one-step or multi-step denoising diffusion process.
Compact Transformer Tracker with Correlative Masked Modeling
Transformer framework has been showing superior performances in visual object tracking for its great strength in information aggregation across the template and search image with the well-known attention mechanism.
VariabilityTrack:Multi-Object Tracking with Variable Speed Object Movement
Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos.
