Article

Chain of Ideas: Revolutionizing Research via Novel Idea Development with LLM Agents

2024-10-27

Abstract excerpt

Effective research ideation is a critical step for scientific research. However, the exponential increase in scientific literature makes it challenging for researchers to stay current with recent advances and identify meaningful research directions. Recent developments in large language models (LLMs) suggest a promising avenue for automating the generation of novel research ideas. However, existing methods for ide...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b2af41af-8837-556a-a2cf-b09261d4211d
DOI: 10.32388/aub766

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Chain of Ideas: Revolutionizing Research via Novel Idea Development with LLM AgentsDOI 10.32388/aub766Read

A Process-Centric Survey of AI for Scientific Discovery Through the EXHYTE FrameworkSemantic proximity Read

Machine-Assisted Social Psychology Hypothesis GenerationSemantic proximity Read

MetricDraft: A Metric-Driven Framework for Academic Paper Draft Generation and Iterative OptimizationSemantic proximity Read

Human direction drives creativity with large language modelsSemantic proximity Read

Queryome: Orchestrating Retrieval, Reasoning, and Synthesis across Biomedical LiteratureSemantic proximity Read

Poisoning scientific knowledge using large language modelsSemantic proximity Read

Simulate Scientific Reasoning with Multiple Large Language Models: An Application to Alzheimer’s Disease Combinatorial TherapySemantic proximity Read

A Large-Scale Comparison of Divergent Creativity in Humans and Large Language ModelsSemantic proximity Read

Mind the Gap: From Plausible to Valid Self-Explanations in Large Language ModelsSemantic proximity Read

The value of generative AI in creative teams depends on when it enters collective searchSemantic proximity Read

<strong>Generative Artificial Intelligence, AI for Scientific Writing: A Literature Review</strong>Semantic proximity Read

Publishing Test-Ready Hypotheses When Experiments Are Out of ReachSemantic proximity Read