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Papers Search
Neural search for AI and ML papers
AT A GLANCE
Intended use: Experimenting with abstract-based retrieval over AI and ML literature.
Pricing model: Open-source. Open-source availability does not establish free hosted usage, model access, or compute.
Public-source review: . Documentation checked; product performance was not tested.
LIMITATIONS
- The documented corpus covers selected AI and ML categories, rather than all academic disciplines.
- Requires local setup and corpus indexing before use.
FEATURES
- ▸ Retrieves papers whose abstracts resemble the supplied abstract.
- ▸ Includes a feedback-based fine-tuning workflow and a Streamlit interface.
What it is
A self-hosted neural search prototype that finds AI and machine-learning papers by abstract similarity using a selected subset of the arXiv dataset.