topic: Tool Learning and Function Calling for LLM Agents


topic: Memory and Long-Context Mechanisms for Long-Horizon LLM Agents


topic: Retrieval-Augmented Generation for Large Language Models


topic: Planning and Self-Reflection in Large Language Model Reasoning


topic: Prompt Injection and Tool-Use Security in LLM Agents


topic: Program Repair and Automated Debugging with Code LLMs


topic: Multimodal Retrieval-Augmented Generation for Chart and Document Understanding


topic: Vision-Language Models for Embodied Reasoning


topic: Diffusion and Flow-Based Models for Controllable Image Generation


topic: Gaussian Splatting and Neural Rendering for Dynamic 3D Scene Reconstruction


topic: Multi-Sensor Fusion for Autonomous Driving Perception


topic: Continual Learning and Model Editing for Foundation Models


topic: Offline and Preference-Based Reinforcement Learning for Robotics


topic: Graph Neural Networks and Graph Foundation Models for Scientific Discovery


topic: Efficient LLM Serving with KV Cache, Speculative Decoding, and Quantization


topic: Vector Databases and Retrieval Systems for Large-Scale AI Applications


topic: Privacy-Preserving Machine Learning with Federated Learning and Differential Privacy


topic: AI Software Supply-Chain Security and Vulnerability Detection


topic: Human-AI Collaboration in Scientific Writing and Research Workflows


topic: Causal Representation Learning and Causal Discovery in Deep Learning


topic: Large Language Models for Generative Recommendation and User Behavior Modeling


topic: AI-Driven Protein Design with Diffusion and Language Models


topic: Single-Cell Foundation Models for Cell Type Annotation and Perturbation Prediction


topic: Radiomics and Deep Learning for Tumor Diagnosis and Prognosis


topic: Machine Learning for Solid-State Battery Materials Discovery


topic: Machine Learning for Electrocatalyst Discovery in Energy Conversion


topic: Deep Learning for Extreme Weather Forecasting


topic: Foundation Models for Satellite Earth Observation


topic: Deep Learning for Financial Risk Modeling under Uncertainty


topic: Bayesian Deep Learning for Uncertainty Quantification