# Reading Group (+🍕): Reimagining Research Papers As Interactive and Reliable AI Agents

A recurring reading group to explore recent AI research and connect with the community. It is for people interested in frontier developments in AI and research papers that can be turned into interactive agents.

- When: Wed, Nov 18, 2026 · 16:30–19:00 (America/Los_Angeles time)
- Where: San Francisco, CA, San Francisco, US, United States
- Format: In person
- Type: Meetup
- Topics: AI, GenAI & LLMs, ML research
- For: AI & ML engineers, Data professionals, Researchers
- Price: Free
- Organizer: Snorkel AI Community Events
- Register and details: https://luma.com/d7u92w1l

## About

Join the Snorkel AI Reading Group, a recurring forum to explore the latest frontier developments in AI while building meaningful connections within the community.

Research papers are how science spreads, but for centuries they have functioned as static vessel – a record of discovery but not, in itself, a tool. Researchers lose days to hunting down repos, fixing dependencies, and decoding undocumented code before they can run a single analysis on their own data. What if you could turn a paper into something capable of executing the very methods it describes?
In this session, Stanford HAI Postdoctoral Fellow Jiacheng Miao presents Paper2Agent, an open source framework that turns a paper and its codebase into an interactive AI agent that can run the paper's methods and even team up with agents from other papers to explore questions no single paper answered. In one case, paper agents collaborated to identify a likely causal gene for psoriasis, with a human researcher steering the validation!
Learn about:
A multi-agent pipeline that finds the code, builds the environment, runs the paper’s tutorials, and packages the methods as an MCP server of tools, resources, and prompts.
How validation is built in to test tools against the original paper’s outputs, repaired if it fails, and dropped if it can’t be fixed.
Modular paper agents that can collaborate: On 100 computational biology papers, 74 were successfully converted, and resulting collaboration outperformed a general-purpose…

## Links

- On the map: https://events.intentface.com/e/reading-group-reimagining-research-papers-as-interactive-and-reliable-ai-agents-san-francisco-2026-11
- As JSON: https://events.intentface.com/api/events/reading-group-reimagining-research-papers-as-interactive-and-reliable-ai-agents-san-francisco-2026-11
- More events like this: https://events.intentface.com/llms.txt

From Intentface Events, https://events.intentface.com