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
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
Updated
•
52
SciKnowOrg/ontolearner-agriculture
Updated
•
94
SciKnowOrg/ontolearner-social_sciences
Updated
•
57
•
1
SciKnowOrg/ontolearner-chemistry
Updated
•
82
•
1
SciKnowOrg/ontolearner-events
Updated
•
62
SciKnowOrg/ontolearner-education
Updated
•
83
SciKnowOrg/ontolearner-medicine
Updated
•
40
SciKnowOrg/ontolearner-geography
Updated
•
100
SciKnowOrg/ontolearner-materials_science_and_engineering
Updated
•
109
•
2
SciKnowOrg/ontolearner-scholarly_knowledge
Updated
•
135