activity
20242026
collaborators

14 papers

cs.AI2026

Shared Prefixes, Better Credit: Adaptive Routing for Multi-Agent Reasoning

Yiqing Liu, Zihao Wang, Hantao Yao +2

Multi-agent reasoning (MAR) improves reasoning reliability through iterative solution exchange and refinement. Existing adaptive MAR methods typically learn routing decisions from…

cs.MA2026

Modeling U.S. Attitudes Toward China via an Event-Steered Multi-Agent Simulator

Chenxu Zhu, Hantao Yao, Wu Liu +2

Understanding the dynamic evolution of opinions, such as U.S. public attitudes toward China, is essential for assessing geopolitical risks. However, existing LLM-based multiagent s…

cs.AI2026

CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes Verdict

Yanhui Sun, Wu Liu, Haifeng Ming +3

E-commerce platforms have begun recruiting crowdsourced jurors to adjudicate massive volumes of transaction disputes. Unlike formal legal judgment, E-commerce dispute verdicts requ…

cs.CV2026

Lance: Unified Multimodal Modeling by Multi-Task Synergy

Fengyi Fu, Mengqi Huang, Shaojin Wu +10

We present Lance, a lightweight native unified model supporting multimodal understanding, generation, and editing for both images and videos. Rather than relying on model capacity…

cs.AI2026

GASim: A Graph-Accelerated Hybrid Framework for Social Simulation

Xuan Zhou, Yanhui Sun, Hantao Yao +3

Large-scale social simulators are essential for studying complex social patterns. Prior work explores hybrid methods to scale up simulations, combining large language models (LLM)-…

cs.MA2026

HCP-MAD:Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate

Yiqing Liu, Hantao Yao, Wu Liu +2

Multi-Agent Debate (MAD) is a collaborative framework in which multiple agents iteratively refine solutions through the generation of reasoning and alternating critique cycles. Cur…