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…
On the Equivalence of Regression and Classification
arXiv:2511.04422v1 Announce Type: cross Abstract: A formal link between regression and classification has been tenuous. Even though the margin maximization…
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
arXiv:2511.04401v1 Announce Type: cross Abstract: Deep learning models achieve strong performance across various domains but often rely on spurious correlations,…
Node-Based Editing for Multimodal Generation of Text, Audio, Image, and Video
arXiv:2511.03227v2 Announce Type: replace-cross Abstract: We present a node-based storytelling system for multimodal content generation. The system represents stories as…