activity
20242026
most citedMol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery

1 citations · 1 across the 12 of their papers we have counts for

collaborators

13 papers

cs.MA2026

Evidence, Logic, and Compliance: Multi-Agent Structured Graph Reasoning with Expert Arbitration for Medical Referral

Qi Peng, Yi Cai, Jialin Cui +7

Medical referral (directing patients to the appropriate hospital department) is a complex decision-making process requiring the synthesis of multimodal data, including patient narr…

cs.CL2026

Molecular LLM Agents: From Architectural Design to Scientific Autonomy

Jiatong Li, Wengyu Zhang, Weida Wang +8

Molecular science represents an important frontier for LLM-based agents. Unlike general agents that mainly operate over natural language, code, or web environments, molecular LLM a…

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

CDPR: Counterfactual Advantage-based Credit Assignment for Cost-Aware Sequential Medical Diagnosis

Qi Peng, Yi Cai, Changmeng Zheng +3

Clinical diagnosis is a step-by-step, cost-aware process: a physician orders examinations one at a time, observes the results, and updates the diagnosis before reaching a final con…

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.LG2026

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis

Jiatong Li, Weida Wang, Changmeng Zheng +4

Large Language Models (LLMs) have recently shown promise in molecular discovery, yet a gap remains between their probabilistic nature over discrete sequential tokens and the rigid…

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.CL2026

MolViBench: Evaluating LLMs on Molecular Vibe Coding

Jiatong Li, Yuxuan Ren, Weida Wang +4

Molecular Vibe Coding, a paradigm where chemists interact with LLMs to generate executable programs for molecular tasks, has emerged as a flexible alternative to chemical agents wi…

cs.AI2025

Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing

Li Yuan, Qingfei Huang, Bingshan Zhu +5

Multimodal Knowledge Editing (MKE) extends traditional knowledge editing to settings involving both textual and visual modalities. However, existing MKE benchmarks primarily assess…

cs.AI2025

Multi-agent Undercover Gaming: Hallucination Removal via Counterfactual Test for Multimodal Reasoning

Dayong Liang, Xiao-Yong Wei, Linhui Xiao +1

Hallucination continues to pose a major obstacle in the reasoning capabilities of large language models (LLMs). Although the Multi-Agent Debate (MAD) paradigm offers a promising so…

cs.CL2025★ 1 cited

Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery

Jiatong Li, Weida Wang, Qinggang Zhang +6

Large language models (LLMs), especially Explicit Long Chain-of-Thought (CoT) reasoning models like DeepSeek-R1 and QWQ, have demonstrated powerful reasoning capabilities, achievin…

cs.CV2025

Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning

Dayong Liang, Changmeng Zheng, Zhiyuan Wen +3

Traditional scene graphs primarily focus on spatial relationships, limiting vision-language models' (VLMs) ability to reason about complex interactions in visual scenes. This paper…

cs.AI2024

A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning

Changmeng Zheng, Dayong Liang, Wengyu Zhang +3

This paper presents a pilot study aimed at introducing multi-agent debate into multimodal reasoning. The study addresses two key challenges: the trivialization of opinions resultin…