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OpenAI research papers

Company · 5 papers · 124,534 citations · latest Sep 2025

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5 of 5 papers, newest first

PaperCitations
Why Language Models HallucinateModels hallucinate because training and benchmarks reward confident guessing over saying they do not know.Alignment and safety · Sep 2025329
GPT-4 Technical ReportA multimodal model that passes a simulated bar exam with a score around the top 10% of test takers.Foundation models · Mar 202327.3k
Training language models to follow instructions with human feedbackInstructGPT: fine-tuning on human feedback made a 1.3B model preferred over the 175B GPT-3.Alignment and safety · Mar 202224.2k
Language Models are Few-Shot LearnersGPT-3, a 175B-parameter model, does new tasks from a few examples in the prompt, with no fine-tuning.Foundation models · May 202063.6k
Scaling Laws for Neural Language ModelsLanguage model loss falls as a smooth power law as model size, data and compute grow.Training and scaling · Jan 20209,061
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Topics: Alignment and safety 2, Foundation models 2, Training and scaling 1

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Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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