Methods › Natural Language Processing › Language Models › GPT-4

GPT-4

2,870 papers tagged archive 2025-07-28

Introduced by OpenAI et al. in GPT-4 Technical Report

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

GPT-4 is a transformer based model pre-trained to predict the next token in a document.

PaperSource

Papers archive 2025-07-28

30 shown of 2,870, 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 734 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 Modelling447
Language Modeling322
Large Language Model298
Question Answering251
Retrieval167
Decision Making122
In-Context Learning121
Benchmarking120
RAG111
Code Generation110
Retrieval-augmented Generation109
Prompt Engineering105
Text Generation99
Math94
Hallucination87
Multiple-choice79
Sentence69
Instruction Following68
Mathematical Reasoning58
Chatbot57

Usage over time archive 2025-07-28

Papers per year tagged with GPT-4: 2023 to 2025, peak 1,637 1,637 0 2023: 883 papers 2023 2024: 1637 papers 2024 2025: 350 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (2,870 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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