From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
Cheng Yang · Jiaxuan Lu · Haiyuan Wan · Junchi Yu · Feiwei Qin
首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。
实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。
Cheng Yang · Jiaxuan Lu · Haiyuan Wan · Junchi Yu · Feiwei Qin
Zhiyuan Yao · Zishan Xu · Yifu Guo · Zhiguang Han · Cheng Yang · Shuo Zhang · Ruiming Tang (Huawei Noah' · Xingshan Zeng · Weiwen Liu
With the rise of the Agent Web and Model Context Protocol (MCP), the agent ecosystem is evolving into an open collaborative network, exponentially increasing accessible tools. However, current architectures face severe scalability and generality bottlenecks. To address this, we propose ACE-Router...
Yu Huo · Kun Zeng · Siyu Zhang · YuQuan Lu · Cheng Yang · Yifu Guo · Xiaoying Tang
Repository-level code completion benefits from retrieval-augmented generation (RAG). However, controlling cross-file evidence is difficult because chunk utility is often interaction-dependent: some snippets help only when paired with complementary context, while others harm decoding when they con...
Beining Wu · Fuyou Mao · Jiong Lin · Cheng Yang · Jiaxuan Lu · Yifu Guo · Siyu Zhang · Yifan Wu · Ying Huang · Fu Li
Generative engines (GEs) are reshaping information access by replacing ranked links with citation-grounded answers, yet current Generative Engine Optimization (GEO) methods optimize each instance in isolation, unable to accumulate or transfer effective strategies across tasks and engines. We refr...