llm paper daily
Basic Information
llm-paper-daily is a public, community-maintained aggregator that collects, categorizes and summarizes recent research papers on large language models (LLMs). The README shows daily updates with lists of newly published papers organized by date and month. Each entry includes arXiv links, links to associated GitHub repositories when available, and short GPT-4–based summaries. The project groups papers into topical sections such as Reasoning, Agent, Knowledge and Retrieval, Alignment, Application, Pre-training and Instruction Fine-tuning, and Survey. The repository provides bilingual badges and a QR code for community discussion. It stores detailed per-paper summaries under a summary folder and a separate CATEGORIES.md for navigation. The listing format is tabular and extensive, covering many months and dozens of papers with provenance (arXiv, GitHub) and short commentary. It is updated frequently to reflect current LLM research trends and releases.