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GPT-4 Technical Report research paper by OpenAI, 2023

OpenAI · Foundation models · Mar 15, 2023 · 28,363 citations · 7 upvotes

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What it shows

A multimodal model that passes a simulated bar exam with a score around the top 10% of test takers.

By OpenAI · arXiv 2303.08774 · PDF

Summarised by hand from the abstract.

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Releases that name it

From releases.fru.dev
Topic
Foundation modelsOct 11, 2018BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingPre-training a Transformer to fill in masked words, then fine-tuning it, beat task-specific models across language understanding tests.Google125k citations33 upvotesRead →Foundation modelsFeb 27, 2023LLaMA: Open and Efficient Foundation Language ModelsOpen models from 7B to 65B trained only on public data; the 13B model beats GPT-3 on most benchmarks.Meta22.6k citations25 upvotesRead →Foundation modelsJul 31, 2024The Llama 3 Herd of ModelsOpen models up to 405B parameters that match leading closed models on many tasks.Meta20.8k citations119 upvotesRead →Foundation modelsUnverifiedMay 14, 2025Qwen3 Technical ReportQwen3, a unified series of large language models, integrates thinking and non-thinking modes, reduces computational resources, and achieves state-of-the-art performance across various tasks and languages.Alibaba (Qwen)10.1k citations339 upvotesRead →Foundation modelsMar 8, 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextRecalls details across millions of tokens of text, hours of video and days of audio.Google DeepMind4,190 citations65 upvotesRead →Foundation modelsUnverifiedNov 26, 2025Qwen3-VL Technical ReportQwen3-VL, a vision-language model, excels in text and multimodal understanding through advanced architectures and larger contexts, achieving superior performance across benchmarks.Alibaba (Qwen)3,178 citations164 upvotesRead →
About this paper
Citations
28,363, 3,397 influential · Semantic Scholar
Upvotes
7 · Hugging Face
Lab
OpenAI · on Companies · on Acquisitions · on Paydays · on Releases · on TechConf

Changes

CitationsNov 9, 2026Influential citations rose from 3,383 to 3,397.
CitationsNov 9, 2026Citations rose from 28,214 to 28,363.
CitationsNov 2, 2026Influential citations rose from 3,338 to 3,383.
CitationsNov 2, 2026Citations rose from 27,681 to 28,214.
CitationsOct 12, 2026Influential citations rose from 3,317 to 3,338.
CitationsOct 12, 2026Citations rose from 27,514 to 27,681.
CitationsOct 5, 2026Influential citations rose from 3,301 to 3,317.
CitationsOct 5, 2026Citations rose from 27,329 to 27,514.
CitationsSep 28, 2026Influential citations rose from 3,293 to 3,301.
CitationsSep 28, 2026Citations rose from 27,296 to 27,329.
CitationsSep 25, 2026Influential citations rose from 3,290 to 3,293.
CitationsSep 25, 2026Citations rose from 27,281 to 27,296.
New paperSep 24, 2026Added to the list.