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
Recent Activity
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-agriculture
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183
SciKnowOrg/ontolearner-scholarly_knowledge
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238
SciKnowOrg/ontolearner-industry
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154
SciKnowOrg/ontolearner-medicine
Updated
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134
SciKnowOrg/ontolearner-geography
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135
SciKnowOrg/ontolearner-materials_science_and_engineering
Updated
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425
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1
SciKnowOrg/ontolearner-biology_and_life_sciences
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72
SciKnowOrg/ontolearner-arts_and_humanities
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78
SciKnowOrg/ontolearner-ecology_and_environment
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71
SciKnowOrg/ontolearner-news_and_media
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148