Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
arXiv:2511.06696v1 Announce Type: cross Abstract: Pretrained equivariant graph neural networks based on spherical harmonics offer efficient and accurate alternatives to…
ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware
arXiv:2511.06694v1 Announce Type: cross Abstract: Machine learning inference occurs at a massive scale, yet its environmental impact remains poorly quantified,…
Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation
arXiv:2511.05308v2 Announce Type: replace-cross Abstract: As 3D point clouds become a cornerstone of modern technology, the need for sophisticated generative…
A hybrid solution approach for the Integrated Healthcare Timetabling Competition 2024
arXiv:2511.04685v1 Announce Type: new Abstract: We report about the algorithm, implementation and results submitted to the Integrated Healthcare Timetabling Competition…
On the Brittleness of CLIP Text Encoders
arXiv:2511.04247v2 Announce Type: replace-cross Abstract: Multimodal co-embedding models, especially CLIP, have advanced the state of the art in zero-shot classification…
AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly
arXiv:2511.05394v1 Announce Type: cross Abstract: We present an AI-assisted Augmented Reality assembly workflow that uses deep learning-based object recognition to…
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
arXiv:2511.05385v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) utilizes external knowledge to augment Large Language Models’ (LLMs) reliability. For flexibility,…
Improving Diagnostic Performance on Small and Imbalanced Datasets Using Class-Based Input Image Composition
arXiv:2511.03891v2 Announce Type: replace-cross Abstract: Small, imbalanced datasets and poor input image quality can lead to high false predictions rates…
Scaling Agent Learning via Experience Synthesis
arXiv:2511.03773v1 Announce Type: new Abstract: While reinforcement learning (RL) can empower large language model (LLM) agents by enabling self-improvement through…
A Theoretical Framework for Environmental Similarity and Vessel Mobility as Coupled Predictors of Marine Invasive Species Pathways
arXiv:2511.03499v2 Announce Type: replace-cross Abstract: Marine invasive species spread through global shipping and generate substantial ecological and economic impacts. Traditional…