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title: Inkling | |
emoji: π | |
colorFrom: blue | |
colorTo: red | |
python_version: 3.1 | |
sdk: gradio | |
sdk_version: 5.23.1 | |
app_file: app.py | |
pinned: true | |
license: agpl-3.0 | |
short_description: Use AI to find obvious research links in unexpected places. | |
datasets: | |
- nomadicsynth/arxiv-dataset-abstract-embeddings | |
models: | |
- nomadicsynth/research-compass-arxiv-abstracts-embedding-model | |
# Inkling: AI-assisted research discovery | |
[**Inkling**](https://nomadicsynth-research-compass.hf.space) is an AI-assisted tool that helps you discover meaningful connections between research papers β the kind of links a domain expert might spot, if they had time to read everything. | |
Rather than relying on superficial similarity or shared keywords, Inkling is trained to recognize **reasoning-based relationships** between papers. It evaluates conceptual, methodological, and application-level connections β even across disciplines β and surfaces links that may be overlooked due to the sheer scale of the research landscape. | |
This demo uses the first prototype of the model, trained on a dataset of **10,000+ rated abstract pairs**, built from a larger pool of arXiv triplets. The system will continue to improve with feedback and will be released alongside the dataset for public research. | |
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## What it does | |
- Accepts a research abstract, idea, or question | |
- Searches for papers with **deep, contextual relevance** | |
- Highlights key conceptual links and application overlaps | |
- Offers reasoning-based analysis between selected papers | |
- Gathers user feedback to improve the model over time | |
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## Why Inkling? | |
> Because the right connection is often obvious β once someone points it out. | |
Researchers today are overwhelmed by volume. Inkling helps restore those missed-but-meaningful links between ideas, methods, and fields β links that could inspire new directions, clarify existing work, or enable cross-pollination across domains. | |
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## Status | |
Inkling is in **alpha** and under active development. The current model is hosted via Gradio, with a Hugging Face Space available for live interaction and feedback. Contributions, feedback, and collaboration are welcome. | |