105 citations · 306 across the 26 of their papers we have counts for
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cs.AI2026
MiniRep: Robust Reputation-Based Aggregation for Multi-Agent Debate
Jiaming Zhang, Yuwan Liu, Yue Huang +1
Autonomous agents powered by large language models (LLMs) are rapidly evolving into an open agentic ecosystem. To support trustworthy collaboration, industry initiatives increasing…
cs.AI2026
MADBench: Benchmarking the Security of Multi-Agent Debate
Yuwan Liu, Jiaming Zhang, Yue Huang +1
Multi-agent debate (MAD) can improve large language model (LLM) reasoning by allowing multiple agents to exchange and critique their answers to the same task. However, the interact…
cs.AI2026★ 1 cited
Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models
Rong Zhou, Dongping Chen, Zihan Jia +24
Digital twins, as precise digital representations of physical systems, have evolved from passive simulation tools into intelligent and autonomous entities through the integration o…