AI-Researcher

Artificial intelligence tool for generating research ideas and project management

CommonProductEducationArtificial IntelligenceResearch Assistance

AI-Researcher is based on a research project by Stanford University's Natural Language Processing team, designed to assist in the generation and management of research ideas through artificial intelligence technology. This tool takes natural language input of research topics and outputs a series of project proposals, ranking and filtering them to help researchers quickly find innovative and feasible concepts. It includes modules for relevant paper searches, retrieval-based idea generation, idea deduplication, project proposal generation, proposal ranking, and filtering.

Relevant paper search: Retrieves related papers through the Semantic Scholar API and reorders them using a large language model (LM).
Retrieval-based idea generation: Inputs a research topic to output a series of innovative ideas.
Idea deduplication: Removes similar ideas using a cosine similarity threshold.
Project proposal generation: Expands each idea into a detailed project proposal.
Project proposal ranking: Ranks all generated project proposals using a large language model.
Project proposal filtering (optional): Checks the novelty and feasibility of each project proposal.
End-to-end pipeline: Provides scripts to run the entire process
generating project proposals from the given research topic.

\AI-Researcher is designed for researchers
scholars
and students
especially those working in fields like Natural Language Processing (NLP) that require innovative research ideas. It helps them quickly generate research concepts
saving time while enhancing the creativity of their studies.\

Researchers use AI-Researcher to quickly find new research directions.
Students utilize the tool to generate innovative ideas for their theses.
Professors guide students in conceptualizing research projects with AI-Researcher.

1. Clone or download the AI-Researcher project to your local machine.
2. Set up the environment according to the instructions in the README file.
3. Create a keys.json file and store it in the project directory.
4. Run the relevant paper search module and input your research topic to get a list of related papers.
5. Use the retrieval-based idea generation module to input your research topic and generate innovative ideas.

Visit

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Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

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