1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Can GNN be Good Adapter for LLMs?
Xuanwen Huang, Kaiqiao Han, Yang Yang +4
Recently, large language models (LLMs) have demonstrated superior capabilities in understanding and zero-shot learning on textual data, promising significant advances for many text…
Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs
Xuanwen Huang, Kaiqiao Han, Dezheng Bao +4
Text-attributed Graphs (TAGs) are commonly found in the real world, such as social networks and citation networks, and consist of nodes represented by textual descriptions. Current…