RD2Bench: Toward Data-Centric Automatic R&D
5月 1, 2024·
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0 分钟阅读时长
Haotian Chen
Equal contribution
,Xinjie Shen
Equal contribution
,Zeqi Ye
Xiao Yang
Xu Yang
Weiqing Liu
Jiang Bian
摘要
We propose RD2Bench, a Real-world Data-centric automatic R&D Benchmark. RD2Bench benchmarks all operations in data-centric automatic R&D as a whole, revealing that while challenging to GPT-4, LLMs possess promising potential.
类型
出版物
ICLR 2024 Workshop: How Far Are We From AGI

Authors
Haotian Chen
(he/him)
Assistant Researcher
Haotian Chen is an Assistant Researcher at the School of Artificial Intelligence, Shanghai Jiao Tong University, working with Prof. Junchi Yan at RethinkLab. His research goal is to understand and develop AI for automating tasks that require extensive time, effort, and creative thinking. He works on automating data-driven scientific research, contributing to both alleviating the burden on humans and revolutionizing human productivity. His research focuses on Autonomous Agents, Large Language Models, and AI4Research. He received his PhD in Data Science from Fudan University and completed postdoctoral research at Tsinghua University (THUNLP), where he worked with Prof. Zhiyuan Liu and Prof. Maosong Sun. He was also a research intern at Microsoft Research Asia, where the RD-Agent project he co-developed was featured in the Microsoft Build 2025 Global Keynote.