# xianshang33/llm-paper-daily

Daily updated LLM papers.        每日更新 LLM 相关的论文，欢迎订阅 👏   喜欢的话动动你的小手 🌟 一个

Repository: https://github.com/xianshang33/llm-paper-daily
Canonical: https://ross.abutalabs.com/products/llm-paper-daily
Language: Python
License Family: other
Topics: agent, large-language-models, llm, rag, chatgpt
Last push: 2026-08-26T02:44:43+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 72
- inputs: {"age_days": 1010, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1322, forks 60 (observed 2026-08-28T04:04:22.006242+00:00)

## What it is
A daily-updated curated repository of LLM and Agent research papers, with arXiv links, GitHub repos, and Chinese/English summaries. It also supports local subscription via an agent skill that reads a public feed JSON.

## Use cases
- stay up to date on daily LLM research papers
- find recent agent and RAG papers with summaries
- subscribe to a daily LLM paper digest locally
- track arXiv papers about large language models
- discover GitHub repos accompanying new LLM papers

## When to choose
- you want a human/LLM-curated daily feed of LLM and agent papers
- you prefer digest summaries in Chinese or English
- you want an agent-configurable local subscription without running scraping yourself

## When to avoid
- you need exhaustive arXiv search rather than curated selection
- you need a programmatic API or historical archive guarantees
- you require a licensed codebase (no license is provided)

## Facets
- artifact type: dataset
- maturity: active
- function: search-engine, data-science
- domain: large-language-models, tutorials, awesome-lists
- platform: python
- tags: llm-papers, arxiv, daily-digest, paper-curation, rss-subscription, research-tracking, ai-agents, web-server

## Member repositories
- xianshang33/llm-paper-daily (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:22.006242+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:47:15.469268+00:00, confidence not recorded.
  - readme: https://github.com/xianshang33/llm-paper-daily (fetched 2026-08-28T04:04:22.006242+00:00, sha 1dbca4180670)
- Data as of 2026-08-30T08:39:29.467469+00:00.