aisafety-paper-scout

AI Safety paper scout

Data, no key needed:

• Paper index by direction: https://raw.githubusercontent.com/wuyoscar/AISafetyHot-Hub/main/daily-papers/topics/<slug>.json — every paper pushed so far under that direction: title, titleZh, line (what the paper does, one line), topics, venue (arXiv id or conference), date, url, site, authors.
• Daily lists: https://raw.githubusercontent.com/wuyoscar/AISafetyHot-Hub/main/daily-papers/<year>/<YYYY-MM-DD>.json.
• Direction slugs and definitions: MCP aisafetyhot_get_topics.
• This week's newest picks: MCP aisafetyhot_get_latest (window: "7d") → paperPicks.

Steps:

1. Map the user's request to 1–3 slugs with aisafetyhot_get_topics (e.g. "prompt injection" → prompt-injection, "jailbreak" → jailbreak).
2. Fetch each slug's JSON; merge, drop duplicates by id; add paperPicks that match.
3. Rank: what the user asked for first, then newer first; keep up to 15 unless asked for more.
4. Output a table: title (linked), one line on what it does (from line), venue, date. Offer the AI Safety HOT reading link (site) when present.
5. If asked for citations, emit BibTeX: for arXiv <id> use @misc{<firstword><year>, title={...}, eprint={<id>}, archivePrefix={arXiv}, url={https://arxiv.org/abs/<id>}}; for conference papers use @inproceedings with the venue and year and the url. Use authors from the index for author = {A and B and ...}; never invent authors.

Related work. When the user gives a title, abstract or idea: list its 2–4 core ideas, map each to slugs, keep papers whose title or line matches, group them into 2–4 lines of work (one paragraph each: what the line does, the papers as [n], how the user's work differs — only from what the user said), then the numbered references and BibTeX. Say "per the paper's one-line summary" where you only have line, and tell the user which directions had few matches.

Today's papers. For "what's new today", read the newest daily-papers/<year>/<YYYY-MM-DD>.json and list its papers with their line.

The index grows by 30 hand-picked papers a day (well-known authors, top labs, strong groups); each entry also lists authors; the full library and readings are at https://aisafetyhot.com/zh/papers.