The law of AI knowledge distillation
Abstract Knowledge distillation—the practice of training a compact student model on the outputs of a larger teacher model—has emerged as the fastest‐growing technique for replicating and disseminating frontier artificial intelligence (AI) capabilities.
Taorui Guan
wiley +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
LSD-DETR: A Lightweight Transformer-Based Detector for Sewer-Pipeline Defects in Forward-Looking Sonar Images. [PDF]
Huang Y +5 more
europepmc +1 more source
Story2Board: A Training‐Free Approach for Expressive Visual Storytelling
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich +4 more
wiley +1 more source
Sensing Platform Technologies of the Transient Electromagnetic Method for Urban Underground Space Detection: Challenges and Advances. [PDF]
Guo H, Gu Q, Xu J, Shi H, Bian L, Xu Z.
europepmc +1 more source
The Story(line) So Far: A Survey on Storyline Visualization
Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo +4 more
wiley +1 more source
Benchmarking Zero-Shot Open-Vocabulary and Fine-Tuned Object Detectors for Underground Mine Personnel Detection. [PDF]
Essien E, Frimpong S.
europepmc +1 more source
Host genetic variation in immune regulation and cell signalling genes was associated with microbiome composition across vaginal, gut, oral and skin sites, while associations involving metabolic function, epithelial barrier integrity and hormonal processes were more site‐specific. Overall, our findings indicate that host genetic variation contributes to
Isabella Margaret Davidson +4 more
wiley +1 more source
Group-aware and position-interactive learning for point cloud robust segmentation in subterranean environments. [PDF]
Liu M, Zhu H, Cheng J, An N.
europepmc +1 more source

