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 π
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:
- π§ Computational Linguistics/NLP and Language Models.
Focused on the development and enhancement of natural language processing techniques and language models. - π€ Machine Learning Models for Precise Extraction of Scientific Information.
Scaling knowledge graphs and powering AI-driven scientific search engines. - π Machine Learning Models for Organizing Knowledge.
Aimed at automating or semi-automating ontology generation and recommendation systems.
datasets 22
SciKnowOrg/ontolearner-materials_science_and_engineering
Updated β’ 41 β’ 2
SciKnowOrg/ontolearner-industry
Updated β’ 44
SciKnowOrg/ontolearner-agriculture
Updated β’ 102
SciKnowOrg/ontolearner-social_sciences
Updated β’ 25 β’ 1
SciKnowOrg/ontolearner-chemistry
Updated β’ 93 β’ 1
SciKnowOrg/ontolearner-events
Updated β’ 32
SciKnowOrg/ontolearner-education
Updated β’ 23
SciKnowOrg/ontolearner-medicine
Updated β’ 29
SciKnowOrg/ontolearner-geography
Updated β’ 49
SciKnowOrg/ontolearner-scholarly_knowledge
Updated β’ 60