Methods › General › Prompt Engineering › CoT Prompting

Chain-of-thought prompting

CoT Prompting

78 papers tagged archive 2025-07-28

Introduced by Jason Wei et al. in Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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

Chain-of-thought prompts contain a series of intermediate reasoning steps, and they are shown to significantly improve the ability of large language models to perform certain tasks that involve complex reasoning (e.g., arithmetic, commonsense reasoning, symbolic reasoning, etc.)

PaperSource

Papers archive 2025-07-28

30 shown of 78, 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 101 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 Answering9
In-Context Learning8
Math8
Language Modelling6
GSM8K5
Prompt Engineering5
Arithmetic Reasoning4
Decoder4
Language Modeling4
Mathematical Reasoning4
Text to SQL4
Text-To-SQL4
MMLU3
Sentence3
Sentiment Analysis3
World Knowledge3
All2
Benchmarking2
Code Generation2
Common Sense Reasoning2

Usage over time archive 2025-07-28

Papers per year tagged with CoT Prompting: 2022 to 2025, peak 30 30 0 2022: 4 papers 2022 2023: 26 papers 2023 2024: 30 papers 2024 2025: 18 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (78 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

Prompt Engineering

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