IEEE

Bayesian Inference-Aided Large Language Model Agents in Infinitely Repeated Games: A Dynamic Network View

Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...
GitHub

Quantile-Based Prediction using Regression Trees and Forests

Quantile regression forest consistently achieves the lowest pinball loss and effect of split criterion on QRF is minimal. This shows the advantage instability and generalization over single-tree ...
IEEE

ABMF-Net: An Attentive Bayesian Multi-Stage Deep Learning Model for Robust Forecasting of Electricity Price and Demand

Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...