Paper Espresso: From Paper Overload to Research Insight

Paper Espresso is an open-source platform that uses large language models to automatically discover, summarize, and analyze trending arXiv papers to help researchers manage information overload. Over 35 months, it has processed over 13,300 papers and revealed key trends in AI research, including a surge in reinforcement learning for LLM reasoning and strong correlation between topic novelty and community engagement.