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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48
SciKnowOrg/ontolearner-agriculture
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91
SciKnowOrg/ontolearner-social_sciences
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33
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1
SciKnowOrg/ontolearner-chemistry
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161
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1
SciKnowOrg/ontolearner-events
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34
SciKnowOrg/ontolearner-education
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37
SciKnowOrg/ontolearner-medicine
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89
SciKnowOrg/ontolearner-geography
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50
SciKnowOrg/ontolearner-materials_science_and_engineering
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250
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1
SciKnowOrg/ontolearner-scholarly_knowledge
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89