Improving Research Idea Generation Through Data: An Empirical Investigation in Social Science

27 May 2025

Papers citing "Improving Research Idea Generation Through Data: An Empirical Investigation in Social Science"

6 / 6 papers shown

Title
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search Yutaro Yamada R. T. Lange Cong Lu Shengran Hu Chris Xiaoxuan Lu Jakob Foerster Jeff Clune David Ha 56 13 0 10 Apr 2025
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition Yong Liu Zonglin Yang Tong Xie Jinjie Ni Ben Gao Yuezun Li Shixiang Tang Wanli Ouyang Min Zhang Dongzhan Zhou 81 8 0 27 Mar 2025
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation Peter Alexander Jansen Oyvind Tafjord Marissa Radensky Pao Siangliulue Tom Hope Bhavana Dalvi Mishra Bodhisattwa Prasad Majumder Daniel S. Weld Peter Clark 50 5 0 20 Mar 2025
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses Zonglin Yang Wanhao Liu Ben Gao Tong Xie You Li Wanli Ouyang Soujanya Poria Min Zhang Dongzhan Zhou LRM 66 22 0 09 Oct 2024
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery Zonglin Yang Xinya Du Junxian Li Jie Zheng Soujanya Poria Min Zhang LRM 48 53 0 06 Sep 2023
Goal Driven Discovery of Distributional Differences via Language Descriptions Ruiqi Zhong Peter Zhang Steve Li Jinwoo Ahn Dan Klein Jacob Steinhardt 72 50 0 28 Feb 2023