Researchers scored the full text of 12,750 arXiv papers and found that approximately 30% of new ones (submitted between 2021 and 2026) read as machine-written, with the share peaking at around 32% in the most recent quarter. The detection method, calibrated to a 0.4% false-positive rate, shows that fields with more prose-heavy content (e.g., computer science, quantitative biology) tend to have higher machine-written shares, while fields with less prose (e.g., mathematics) tend to have lower shares. However, the results are limited by a small control sample size and potential biases in detector coverage. AI summary
Firehose
Filtered to tagged “NLP” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News
Browse by tag
artificial intelligence 43open-weight models 26agentic coding 20AI 14reinforcement learning 14AI safety 13continual learning 13AI agents 10cybersecurity 7large language models 7open-source 6Reinforcement learning 6benchmarking 5finance 5tech 5web development 5Agentic AI 4AI ethics 4autoregressive models 4Diffusion models 4language models 4Recursive self-improvement 4security 4vision-language models 4AI infrastructure 3AI security 3Code generation 3diffusion models 3diffusion transformers 3general 3