paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
GC

Guhong Chen

ACL 2026×2推理智能体与工具代码评测与基准检索与知识
新星分新星
65
一作贡献30
核心/参与12
方向广度10
合作网络6
1 一作 · 2 篇 · ACL 2026

获取完整研究档案

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。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

2
一作ACL 2026Findings· Findings of ACL

Beyond Quantity: Trajectory Diversity Scaling for Code Agents

Guhong Chen · Chenghao Sun · Cheng Fu · Qiyao Wang · Zhihong Huang · ChaoPeng Wei · Guangxu Chen · Feiteng Fang · Ahmadreza Argha · Bing Zhao · Xander Xu · Qi Han · Hamid Alinejad-Rokny · Qiang Qu · Binhua Li · Shiwen Ni · Min Yang · HU WEI · Yongbin Li

摘要

As code large language models (LLMs) evolve into tool-interactive agents via the Model Context Protocol (MCP), their generalization is increasingly limited by low-quality synthetic data and the diminishing returns of quantity scaling; moreover, quantity-centric scaling exhibits an early bottlenec...

智能体与工具推理代码OpenReview 项目页
作者位次 #2/23ACL 2026Findings· Findings of ACL

Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice

Qiyao Wang · Guhong Chen · Hongbo Wang · Huaren Liu · Minghui Zhu · Zhifei Qin · Li Linwei · Yilin Yue · Shiqiang Wang · Jiayan Li · Wu Yihang · Ziqiang Liu · Longze Chen · Run Luo · Liyang Fan · Jiaming Li · Lei Zhang · Kan Xu · Hamid Alinejad-Rokny · Chengming Li · Shiwen Ni · Yuan Lin · Min Yang

摘要

Intellectual Property (IP) is a highly specialized domain that integrates technical and legal knowledge, making it inherently complex and knowledge-intensive. Recent advancements in LLMs have demonstrated their potential to handle IP tasks, enabling more efficient analysis, understanding, and gen...

推理评测与基准检索与知识OpenReview 项目页

常见合作者