15 papers
Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning
Qi Peng, Jiatong Li, Sirui Huang +10
Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress…
Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning
Dayong Liang, Kaisong Gong, Yi Cai +2
Existing multi-agent debate frameworks suffer from two critical limitations: they rely on static architectures where agent roles and coordination patterns are fixed at design time,…
Progressive Approximation in Deep Residual Networks: Theory and Validation
Wei Wang, Xiao-Yong Wei, Qing Li
The Universal Approximation Theorem (UAT) guarantees universal function approximation but does not explain how residual models distribute approximation across layers. We reframe re…
Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design
Wengyu Zhang, Xiao-Yong Wei, Qing Li
Text-guided molecular design is a key capability for AI-driven drug discovery, yet it remains challenging to map sequential natural-language instructions with non-linear molecular…
Self-Paced Learning for Images of Antinuclear Antibodies
Yiyang Jiang, Guangwu Qian, Jiaxin Wu +4
Antinuclear antibody (ANA) testing is a crucial method for diagnosing autoimmune disorders, including lupus, Sjögren's syndrome, and scleroderma. Despite its importance, manual AN…
A Survey on Personalized Content Synthesis with Diffusion Models
Xulu Zhang, Xiaoyong Wei, Wentao Hu +6
Recent advancements in diffusion models have significantly impacted content creation, leading to the emergence of Personalized Content Synthesis (PCS). By utilizing a small set of…