IEEE

Multi-Task Reinforcement Learning-Based Multiple Access for Dynamic Wireless Networks

Abstract: With the rapid development of emergent applications, wireless networks require the provision of high throughput. Meanwhile, wireless scenarios exhibit highly dynamic characteristics, ...
IEEE

ViT-Enabled Task-Driven Autonomous Heuristic Navigation Based on Deep Reinforcement Learning

Abstract: In unknown environments lacking prior maps, achieving effective visual understanding is crucial for building highly efficient task - driven autonomous navigation systems. In this paper, we ...
Edutopia

Making Use of a Worked Example to Improve Learning

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
GitHub

[ICLR 2026] InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models

We present the InternSVG family, an integrated data–benchmark–model suite. The InternSVG-8B model is available at Hugging Face. It is based on the InternVL3-8B model, incorporating SVG-specific tokens ...
GitHub

Language Guided Concept Bottleneck Models for Interpretable Continual Learning

This repo is the official PyTorch implementation of CVPR2025 paper "Language Guided Concept Bottleneck Models for Interpretable Continual Learning". We follow the framework of Pilot to implement this ...