ReAct: Synergizing Reasoning and Acting in Language Models

Toolformer: Language Models Can Teach Themselves to Use Tools

A survey of Large Language Models

Empowering biomedical discovery with AI agents

A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs

A multimodal sleep foundation model for disease prediction

(Part 3) The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Why do tree-based models still outperform deep learning on typical tabular data?

Magma: A Foundation Model for Multimodal AI Agents

(Part 2) The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applicationsand Challenges

Gated Transformer Networks for Multivariate Time Series Classification

TabNet:Attentive Interpretable Tabular Learning

Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series

(Part 1) The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Learning Important Features Through Propagating Activation Differences

Toward expert-level medical question answering with large language models

A comparative analysis of gradient boosting algorithms

Transformer-based time-series GAN for data augmentation in bridge digital twins

Large Language Models Encode Clinical Knowledge

A Transformer-based Framework for Multivariate Time Series Representation Learning

XGBoost:A Scalable Tree Boosting System

Specialized ECG data augmentation method