GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection Research Background and Problem Statement In real-world applications, machine learning models often face changes in data distribution, such as the emergence of new categories. This phenomenon is known as “Out-of-Distribution Detection (OOD).” To ensure the...

Lidar-Guided Geometric Pretraining Enhances Performance of Vision-Centric 3D Object Detection Background Introduction In recent years, multi-camera 3D object detection has garnered significant attention in the field of autonomous driving. However, vision-based methods still face challenges in precisely extracting geometric information from RGB imag...

An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-training Academic Background In recent years, self-supervised learning (SSL) has made significant progress in the field of computer vision. In particular, the successful application of masked image modeling (MIM) pre-training methods on large-sca...

High-Precision Prediction of Protein Fragment Inhibitory Activity: The Application of FragFold Academic Background Protein interactions play a crucial role in cellular life activities, and peptides or protein fragments can regulate protein functions by binding to specific protein interfaces, even acting as inhibitors. Recent developments in high-th...

In today’s era of information explosion, decision-makers are faced with a vast amount of information, not all of which is relevant to their decisions. To better make optimal decisions in data-rich environments, the Rational Inattention (RI) model has been introduced into the field of economics. The core idea of this model is that decision-makers ne...

Research Report on Identifying New Classes of Financial Price Jumps Using Wavelets Academic Background Price jumps in financial markets refer to significant price fluctuations occurring within an extremely short period, typically caused by exogenous factors (such as sudden news) or endogenous factors (internal market feedback mechanisms). Distingui...

Study on Out-of-Distribution Generalization and Composition Mechanisms in Large Language Models Paper Background In recent years, large language models (LLMs) such as GPT-4 have demonstrated remarkable creativity in handling novel tasks, often solving problems with just a few examples. These tasks require models to generalize on distributions diffe...

Discounted Adaptive Critic Design with Application Verification in Zero-Sum Games Research Background In the field of control, optimal control is a core research direction aimed at designing and analyzing control systems to optimize system performance. As system complexity increases, traditional optimal control methods based on the Hamilton-Jacobi-...

Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation Using Multiple UAVs Academic Background Wildfires pose a significant threat to global biodiversity and resource sustainability, especially in their early stages. If not controlled in time, wildfires can rapidly expand, leading to severe ecological damage. In recent ye...

Projective Weighted Dynamic Time Warping-Based Monitoring Method for Multi-Stage Processes with Unequal Durations Academic Background In modern manufacturing industries, online monitoring of multi-stage processes (such as batch and transition processes) is crucial for improving product quality and reducing failure risks. However, due to varying ope...