Xufang Luo

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs

VL Norm: Rethink Loss Aggregation in RLVR

A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models

SortedRL: Accelerating RL Training for LLMs through Online Length-aware Scheduling

What are Key Factors for Updates in RL for LLM Reasoning?

Segmentation Helps Understanding: Mask-Infused Vision-Language Pre-training for 3D Medical Images

MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention

SCBench: A KV Cache-Centric Analysis of Long-Context Methods

pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation

Is classification all you need for radiology report generation?

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents

Stand on Two Shoulders: Dynamically Merging Tokens from General and Medical Experts

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Learning Robust Representations for Medical Images via Unifying (Self-)Supervisions

Benchmark Dataset for Radiology Report Generation with Instructions and Contexts

Zoomer: Enhancing MLLM Performance with Adaptive Image Focus Optimization

LLM2CLIP: Extending the Capability Boundaries of CLIP through Large Language Models