Yong Luo

Bootstrapping MLLM for Weakly‑Supervised Class‑Agnostic Object Counting

AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs

Epistemic-Aware Vision–Language Foundation Model for Fetal Ultrasound Interpretation

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation

Branching Memory: Task-Specific Expansion for Continual Learning in Large Language Models

Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG

Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings

Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making

AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation

MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation

Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs

Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging

Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision

FIRING-Net: A filtered feature recycling network for speech enhancement

FusionBench: A Comprehensive Benchmark of Deep Model Fusion

Targeted Low-rank Refinement: Enhancing Sparse Neural Networks with Precision

Balancing Token Efficiency and Structural Accuracy in LLMs Image Generation by Combining VQ-VAE and Diffusion Tokenizers