3 papers
cs.AI2026
Beyond Answer Sharing: TrueMAD for Targeted Peer Engagement in Multi-Agent Debate
Dezheng Bao, Sihang Du, Renhong Huang +3
Multi-agent debate (MAD) aims to improve large language model reasoning by exposing agents to alternative solutions and enabling iterative revision. However, standard broadcast-sty…
cs.AI2025
PD: A Project Duplication Detection Framework via Adapted Multi-Agent Debate
Dezheng Bao, Yueci Yang, Chutian Yu +9
Project duplication detection is critical for project quality assessment because it helps avoid investment in repeated proposals. Existing methods usually cast it as ranking and re…
cs.CL2025
Re2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions
Daoze Zhang, Zhijian Bao, Sihang Du +4
Peer review is a critical component of scientific progress in the fields like AI, but the rapid increase in submission volume has strained the reviewing system, which inevitably le…