Methods › Natural Language Processing › Language Models › mT0

mT0

8 papers tagged archive 2025-07-28

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

mT0 is a Multitask prompted finetuning (MTF) variant of mT5.

Source: Crosslingual Generalization through Multitask Finetuning

Papers archive 2025-07-28

8 shown of 8, 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 31 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
Language Modelling3
Decoder2
Language Modeling2
Machine Translation2
Question Answering2
ArabicMMLU1
Articles1
Coreference Resolution1
Cross-Lingual Transfer1
Data Augmentation1
Headline Generation1
In-Context Learning1
Intent Detection1
Language Model Evaluation1
Multi-task Language Understanding1
Multiple-choice1
Named Entity Recognition1
Natural Language Understanding1
Reading Comprehension1
Sentence Completion1

Usage over time archive 2025-07-28

Papers per year tagged with mT0: 2022 to 2025, peak 3 3 0 2022: 1 paper 2022 2023: 3 papers 2023 2024: 3 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (8 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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