IdeaSynth: Iterative Research Idea Development Through Evolving and
Composing Idea Facets with Literature-Grounded Feedback

IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback

5 October 2024

K. J. Kevin Feng

Bhavana Dalvi Mishra

Joseph Chee Chang

Pao Siangliulue

Papers citing "IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback"

17 / 17 papers shown

Title
IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery Aniketh Garikaparthi Manasi Patwardhan Lovekesh Vig Arman Cohan VLM LRM 95 1 0 23 Apr 2025
ScholarMate: A Mixed-Initiative Tool for Qualitative Knowledge Work and Information Sensemaking Runlong Ye Patrick Yung Kang Lee Matthew Varona Oliver Huang Carolina Nobre 87 0 0 19 Apr 2025
The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity Runlong Ye Matthew Varona Oliver Huang Patrick Yung Kang Lee Michael Liut Carolina Nobre 88 1 0 22 Feb 2025
Cocoa: Co-Planning and Co-Execution with AI Agents K. J. Kevin Feng Kevin Pu Matt Latzke Tal August Pao Siangliulue Jonathan Bragg Daniel S. Weld Amy X. Zhang Joseph Chee Chang LM&Ro LLMAG 140 6 0 14 Dec 2024
Automated Focused Feedback Generation for Scientific Writing Assistance Eric Chamoun Michael Schlichktrull Andreas Vlachos 199 11 0 30 May 2024
AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation Orit Shaer Angel Cooper O. Mokryn Andrew L. Kun Hagit Ben-Shoshan 60 61 0 22 Feb 2024
Homogenization Effects of Large Language Models on Human Creative Ideation Barrett R Anderson Jash Hemant Shah Max Kreminski 58 79 0 02 Feb 2024
Towards Autonomous Hypothesis Verification via Language Models with Minimal Guidance Shiro Takagi Ryutaro Yamauchi Wataru Kumagai 14 5 0 16 Nov 2023
Can large language models provide useful feedback on research papers? A large-scale empirical analysis Weixin Liang Yuhui Zhang Hancheng Cao Binglu Wang Daisy Ding ... Siyu He D. Smith Yian Yin Daniel A. McFarland James Y. Zou ALM LM&MA 72 140 0 03 Oct 2023
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery Zonglin Yang Xinya Du Junxian Li Jie Zheng Soujanya Poria Min Zhang LRM 48 54 0 06 Sep 2023
Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment A. Beygelzimer Yann N. Dauphin Percy Liang J. W. Vaughan 55 8 0 05 Jun 2023
Explanations Can Reduce Overreliance on AI Systems During Decision-Making Helena Vasconcelos Matthew Jörke Madeleine Grunde-McLaughlin Tobias Gerstenberg Michael S. Bernstein Ranjay Krishna 52 172 0 13 Dec 2022
A Computational Inflection for Scientific Discovery Tom Hope Doug Downey Oren Etzioni Daniel S. Weld Eric Horvitz AI4CE 63 34 0 04 May 2022
Towards Understanding and Mitigating Social Biases in Language Models Paul Pu Liang Chiyu Wu Louis-Philippe Morency Ruslan Salakhutdinov 93 388 0 24 Jun 2021
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making Zana Buçinca M. Malaya Krzysztof Z. Gajos 50 313 0 19 Feb 2021
SPECTER: Document-level Representation Learning using Citation-informed Transformers Arman Cohan Sergey Feldman Iz Beltagy Doug Downey Daniel S. Weld AI4TS 81 551 0 15 Apr 2020
PaperRobot: Incremental Draft Generation of Scientific Ideas Qingyun Wang Lifu Huang Zhiying Jiang Kevin Knight Heng Ji Joey Tianyi Zhou Yi Luan 55 60 0 20 May 2019