Robust LLM-as-a-Judge for Scientific Question Answering
AI & ML interests
computational linguistics, natural language processing, generative AI, agentic systems, scientific knowledge search and discovery, ontology engineering, classification systems
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Organization Card
Hi there 👋
We're passionate about leveraging cutting-edge technology to revolutionize how we understand and organize scientific knowledge. Here's what we're currently focusing on:
- 🧠 Computational Linguistics/NLP and Language Models.
Focused on the development and enhancement of natural language processing techniques and language models. - 🤖 Machine Learning Models for Precise Extraction of Scientific Information.
Scaling knowledge graphs and powering AI-driven scientific search engines. - 📚 Machine Learning Models for Organizing Knowledge.
Aimed at automating or semi-automating ontology generation and recommendation systems.
datasets
22
SciKnowOrg/ontolearner-industry
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270
SciKnowOrg/ontolearner-agriculture
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335
SciKnowOrg/ontolearner-social_sciences
Updated
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76
•
1
SciKnowOrg/ontolearner-chemistry
Updated
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437
•
1
SciKnowOrg/ontolearner-events
Updated
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246
SciKnowOrg/ontolearner-education
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243
SciKnowOrg/ontolearner-medicine
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318
SciKnowOrg/ontolearner-geography
Updated
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308
SciKnowOrg/ontolearner-materials_science_and_engineering
Updated
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686
•
1
SciKnowOrg/ontolearner-scholarly_knowledge
Updated
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417