AI
Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration
Researchers have developed an AI tool called Distribird that helps build informative prior distribut...
AI
LLM-Guided Graph Generation for Structure-Based Local Improvement Methods
Researchers have developed a pipeline that uses large language models (LLMs) to generate graphs for ...
AI
The Authenticity Gap in Human Evaluation
A recent study on natural language generation (NLG) evaluation has found that the standard method of...
AI
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses
Researchers have proposed a framework for evaluating deep neural networks in detecting and quantifyi...
AI
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation
Researchers have developed a new model called ManiCM for real-time robotic manip...
AI
Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm
Researchers have developed an algorithm called QCDC-DR-GA that optimizes contain...
AI
LSem2Vec: A Simple yet Effective Two-Stage Approach for Source Code Embedding
Researchers propose a new method called LSem2Vec for embedding source code into ...
AI
M3TR: Temporal Retrieval Enhanced Multi-Modal Micro-video Popularity Prediction
Researchers have developed a new framework called M3TR for predicting the popula...