Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System

Victims of groupthink: A psychological study of foreign-policy decisions and fiascoes

Irving L Janis. 1972 · 1972

Earlier work this paper cites.

Scientific discovery: Computational explorations of the creative processes

P Langley. 1987 · 1987

Earlier work this paper cites.

Exploration and exploitation in organizational learning

James G March. 1991 · 1991

Earlier work this paper cites.

Scientific method in practice

Hugh G Gauch. 2003 · 2003

Earlier work this paper cites.

How critical reflection triggers transformative learning

Jack Mezirow. 2003 · 2003

Earlier work this paper cites.

A survey of deep learning for scientific discovery

Original

Maithra Raghu and Eric Schmidt. 2020 · 2003

Earlier work this paper cites.

Mapping the backbone of science

Kevin W Boyack, Richard Klavans, and Katy Börner. 2005 · 2005

Earlier work this paper cites.

Team assembly mechanisms determine collaboration network structure and team performance

Roger Guimera, Brian Uzzi, Jarrett Spiro, and Luis A Nunes Amaral. 2005 · 2005

Earlier work this paper cites.

“collaborating to success”: An experimental study of group idea generation techniques

Julie S Linsey, Matthew G Green, Jeremy T Murphy, Kristin L Wood, and Art B Markman. 2005 · 2005

Earlier work this paper cites.

Why societies need dissent

Cass R Sunstein. 2005 · 2005

Earlier work this paper cites.

Writing good abstracts

Andrei V Alexandrov and Michael G Hennerici. 2007 · 2007

Earlier work this paper cites.

The increasing dominance of teams in production of knowledge

Stefan Wuchty, Benjamin F Jones, and Brian Uzzi. 2007 · 2007

Earlier work this paper cites.

Arnetminer: extraction and mining of academic social networks

Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. 2008 · 2008

Earlier work this paper cites.

Using arguments for making and explaining decisions

Leila Amgoud and Henri Prade. 2009 · 2009

Earlier work this paper cites.

Teamwork in multi-agent systems: A formal approach

Barbara Dunin-Keplicz and Rineke Verbrugge. 2011 · 2011

Earlier work this paper cites.

Atypical combinations and scientific impact

Brian Uzzi, Satyam Mukherjee, Michael Stringer, and Ben Jones. 2013 · 2013

Earlier work this paper cites.

The psychology of trading and investing

Julia Pitters and Thomas Oberlechner. 2014 · 2014

Earlier work this paper cites.

Automated hypothesis generation based on mining scientific literature

Scott Spangler, Angela D Wilkins, Benjamin J Bachman, Meena Nagarajan, Tajhal Dayaram, Peter Haas, Sam Regenbogen, Curtis R Pickering, Austin Comer, Jeffrey N Myers, et al. 2014 · 2014

Earlier work this paper cites.

Choosing experiments to accelerate collective discovery

Andrey Rzhetsky, Jacob G Foster, Ian T Foster, and James A Evans. 2015 · 2015

Earlier work this paper cites.

From creativity to innovation: The social network drivers of the four phases of the idea journey

Jill E Perry-Smith and Pier Vittorio Mannucci. 2017 · 2017

Earlier work this paper cites.

The preeminence of ethnic diversity in scientific collaboration

Bedoor K AlShebli, Talal Rahwan, and Wei Lee Woon. 2018 · 2018

Earlier work this paper cites.

A multi agent system architecture to implement collaborative learning for social industrial assets

Kshitij Bakliwal, Maharshi Harshadbhai Dhada, Adria Salvador Palau, Ajith Kumar Parlikad, and Bhupesh Kumar Lad. 2018 · 2018

Earlier work this paper cites.

Multi-agent systems: A survey

Ali Dorri, Salil S Kanhere, and Raja Jurdak. 2018 · 2018

Earlier work this paper cites.

Science of science

Santo Fortunato, Carl T Bergstrom, Katy Börner, James A Evans, Dirk Helbing, Staša Milojević, Alexander M Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, et al. 2018 · 2018

Earlier work this paper cites.

Semantic scholar

Suzanne Fricke. 2018 · 2018

Earlier work this paper cites.

Billion-scale similarity search with GPUs

Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019

Cited alongside, same era.

Identifying the intersections: User experience+ research scientist collaboration in a generative machine learning interface

Claire Kayacik, Sherol Chen, Signe Noerly, Jess Holbrook, Adam Roberts, and Douglas Eck. 2019 · 2019

Cited alongside, same era.

Large teams develop and small teams disrupt science and technology

Lingfei Wu, Dashun Wang, and James A Evans. 2019 · 2019

Cited alongside, same era.

Increasing trend of scientists to switch between topics

An Zeng, Zhesi Shen, Jianlin Zhou, Ying Fan, Zengru Di, Yougui Wang, H Eugene Stanley, and Shlomo Havlin. 2019 · 2019

Cited alongside, same era.

Retrieval-augmented generation for knowledge-intensive nlp tasks

Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020

Cited alongside, same era.

Accurate structure prediction of biomolecular interactions with alphafold 3

Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore, Andrew J Ballard, Joshua Bambrick, et al. 2024 · 2024

Closest in time.

Automating exploratory proteomics research via language models

Original

Ning Ding, Shang Qu, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, et al. 2024 · 2024

Closest in time.

Multi-agent software development through cross-team collaboration

Original

Zhuoyun Du, Chen Qian, Wei Liu, Zihao Xie, Yifei Wang, Yufan Dang, Weize Chen, and Cheng Yang. 2024 · 2024

Closest in time.

The llama 3 herd of models

Original

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al. 2024 · 2024

Closest in time.