activity
20232026
most citedEmpowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

64 citations · 74 across the 20 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.AI2026

DeAR: Decentralized Agentic Reasoning via Capability Grounding and Collaborative Thought Navigation

Xing Wei, Changmeng Zheng, XiaoYong Wei +2

Existing agentic reasoning systems typically rely on centralized protocols. This design introduces routing bottlenecks and static role allocations that often fail when handling com…

cs.AI2026

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…

cs.AI2026

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,…

cs.LG2026

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…

cs.AI2026

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…