RGPO

[IEEE TAI 2026] RGPO is a reinforcement learning framework that refines clinical reasoning via preference-driven ranking

A new way for AI to search for data
View on GitHub
3GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 8cdee785c3 (2026-09-20).

Selected work

Chia-Hsuan Hsu
@tongyu0924

“Add files via upload”. 5 files, 634 lines in the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones tongyu0924/RGPO at the pinned commit and indexes it on your machine.

Search the GitHub repository tongyu0924/RGPO with XERJ (https://hub.xerj.org/corpus/tongyu0924--rgpo).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/tongyu0924/RGPO RGPO && git -C RGPO checkout 8cdee785c3d8c2f3028ce72275905e9a54398787
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./RGPO --url http://127.0.0.1:9200 --prefix rgpo --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.