Methods › Natural Language Processing › Language Models › Galactica

Galactica

10 papers tagged archive 2025-07-28

Introduced by Ross Taylor et al. in Galactica: A Large Language Model for Science

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Galactica is a language model which uses a Transformer architecture in a decoder-only setup with the following modifications:

PaperSource

Papers archive 2025-07-28

10 shown of 10, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 43 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Question Answering5
Language Modeling3
Language Modelling3
model3
Common Sense Reasoning2
Domain Adaptation2
Fairness2
Large Language Model2
Math2
All1
Anachronisms1
Bias Detection1
Chatbot1
Citation Prediction1
Classification1
Continual Learning1
Document Classification1
Extractive Question-Answering1
General Knowledge1
IUPAC Name Prediction1

Usage over time archive 2025-07-28

Papers per year tagged with Galactica: 2022 to 2023, peak 9 9 0 2022: 1 paper 2022 2023: 9 papers 2023
Papers per year the archive tags with this method, by the paper's archive date (10 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Language Models

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