AI-Researcher: Autonomous Scientific Innovation

Scientific discovery in the age of artificial intelligence

Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, et al · 2023

Earlier work this paper cites.

Camel: Communicative agents for "mind" exploration of large language model society, 2023

Original

Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem · 2023

Earlier work this paper cites.

Langchain: Build context-aware reasoning applications

LangChain Contributors · 2023

Earlier work this paper cites.

Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face, 2023

Original

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2023

Earlier work this paper cites.

Openagents: An open platform for language agents in the wild, 2023

Original

Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, and Tao Yu · 2023

Earlier work this paper cites.

Metacognitive capabilities of llms: An exploration in mathematical problem solving

Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy Lillicrap, Danilo Jimenez Rezende, Yoshua Bengio, Michael C Mozer, and Sanjeev Arora · 2024

Earlier work this paper cites.

Deepseek-coder: When the large language model meets programming–the rise of code intelligence

Original

Daya Guo, Qihao Zhu, Dejian Yang, Zhenda Xie, Kai Dong, Wentao Zhang, Guanting Chen, Xiao Bi, Yu Wu, YK Li, et al · 2024

Earlier work this paper cites.

Scibench: Evaluating college-level scientific problem-solving abilities of large language models, 2024

Original

Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, and Wei Wang · 2024

Earlier work this paper cites.

The ai scientist: Towards fully automated open-ended scientific discovery, 2024

Original

Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha · 2024

Earlier work this paper cites.

Chain of ideas: Revolutionizing research via novel idea development with llm agents, 2024

Original

Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Deli Zhao, Yu Rong, Tian Feng, and Lidong Bing · 2024

Cited alongside, same era.

Can llms generate novel research ideas? A large-scale human study with 100+ NLP researchers

Original

Chenglei Si, Diyi Yang, and Tatsunori Hashimoto · 2024

Cited alongside, same era.

Assisting in writing wikipedia-like articles from scratch with large language models

Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, and Monica S. Lam · 2024

Cited alongside, same era.

Agentreview: Exploring peer review dynamics with llm agents

Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, and Jindong Wang · 2024

Cited alongside, same era.

Metagpt: Meta programming for a multi-agent collaborative framework, 2024

Agentrxiv: Towards collaborative autonomous research, 2025

Original

Samuel Schmidgall and Michael Moor · 2025

Closest in time.

Towards an ai co-scientist

Original

Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, Tao Tu, Anil Palepu, Petar Sirkovic, Artiom Myaskovsky, Felix Weissenberger, Keran Rong, Ryutaro Tanno, et al · 2025

Closest in time.

Towards scientific discovery with generative ai: Progress, opportunities, and challenges

Chandan K Reddy and Parshin Shojaee · 2025

Closest in time.

The ai scientist-v2: Workshop-level automated scientific discovery via agentic tree search, 2025

Original

Yutaro Yamada, Robert Tjarko Lange, Cong Lu, Shengran Hu, Chris Lu, Jakob Foerster, Jeff Clune, and David Ha · 2025

Closest in time.

Researchagent: Iterative research idea generation over scientific literature with large language models, 2025