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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

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7 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

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.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.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.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…