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Found 6 papers, 0 papers with code
Experimenting with Large Language Models and vector embeddings in NASA SciX
Open-source Large Language Models enable projects such as NASA SciX (i. e., NASA ADS) to think out of the box and try alternative approaches for information retrieval and data augmentation, while respecting data copyright and users' privacy.
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach
The automatic identification of planetary feature names in astronomy publications presents numerous challenges.
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy.
Improving astroBERT using Semantic Textual Similarity
The NASA Astrophysics Data System (ADS) is an essential tool for researchers that allows them to explore the astronomy and astrophysics scientific literature, but it has yet to exploit recent advances in natural language processing.
Building astroBERT, a language model for Astronomy & Astrophysics
The existing search tools for exploring the NASA Astrophysics Data System (ADS) can be quite rich and empowering (e. g., similar and trending operators), but researchers are not yet allowed to fully leverage semantic search.
Multilingual Topic Models
Scientific publications have evolved several features for mitigating vocabulary mismatch when indexing, retrieving, and computing similarity between articles.
