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Methods › Natural Language Processing › Language Models › Flan-T5

Flan-T5

107 papers tagged archive 2025-07-28

Introduced by Hyung Won Chung et al. in Scaling Instruction-Finetuned Language Models

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

Flan-T5 is the instruction fine-tuned version of T5 or Text-to-Text Transfer Transformer Language Model.

PaperSource

Papers archive 2025-07-28

30 shown of 107, 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 167 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 Modelling22
Question Answering19
Language Modeling18
Large Language Model10
In-Context Learning9
Retrieval8
Sentence8
Text Generation7
Decoder6
parameter-efficient fine-tuning6
Benchmarking4
Relation Extraction4
Zero-Shot Learning4
Attribute3
Data Augmentation3
Diagnostic3
Domain Adaptation3
MMLU3
Natural Language Understanding3
Reading Comprehension3

Usage over time archive 2025-07-28

Papers per year tagged with Flan-T5: 2022 to 2025, peak 47 47 0 2022: 3 papers 2022 2023: 47 papers 2023 2024: 46 papers 2024 2025: 11 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (107 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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