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RM-R1: Unleashing the Reasoning Potential of Reward Models

active 2025-05-062026-03-23 (UTC)

Partial coverage12,578 / 14,286 hourly files (88%) · 2 absent upstream · 1,703 failed, retryable2024-12-232026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
125
Pushes
20
Pull requests
4
Issues
8
Stars
72
Forks
9

Activity over time

Daily event counts in the loaded window

Line chart, 322 days from 2025-05-06 to 2026-03-23. Pushes: 20 total, peak 7 in a day. Pull requests: 4 total, peak 4 in a day. Issues: 8 total, peak 2 in a day. Comments: 8 total, peak 2 in a day. Stars: 72 total, peak 6 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
GaotangLi302025
Neroxsh6022
iamjanvijay2001
LUMO6661000
yhl481000
socialism-redstar1000
krishnakanthnakkav21000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#11GaotangLi2026-01-31 21:38
    Question on Using RM-R1 with Single-Response Inputs
  • Issue#11krishnakanthnakkav22026-01-27 08:56
    Question on Using RM-R1 with Single-Response Inputs
  • Issue#10yhl482025-08-18 22:08
    Question about custom verl trainer
  • Issue#9iamjanvijay2025-08-14 00:48
    number of rollouts?
  • Issue comment#9GaotangLi2025-08-13 02:14
    number of rollouts?
  • Issue comment#9iamjanvijay2025-08-13 02:11
    number of rollouts?
  • Issue#8socialism-redstar2025-07-06 06:42
    rlvr训练报错
  • Issue comment#7Neroxsh2025-06-30 08:14
    response is “!!!” in qwen2.5-7B
  • Issue comment#7GaotangLi2025-06-28 20:48
    response is “!!!” in qwen2.5-7B
  • Issue#7Neroxsh2025-06-27 08:42
    response is “!!!” in qwen2.5-7B
  • Issue#5LUMO6662025-06-27 07:45
    Have you used this method as reward model to train any RL experiments?
  • Issue comment#5GaotangLi2025-06-26 04:33
    Have you used this method as reward model to train any RL experiments?
  • Issue comment#6GaotangLi2025-06-26 04:20
    Evaluation scripts on RM-Bench and RMB
  • Issue#2GaotangLi2025-06-06 04:18
    python version
  • Issue comment#2Neroxsh2025-06-06 00:26
    python version
  • Pull request#3GaotangLi2025-06-02 20:50
  • Pull request#4GaotangLi2025-06-02 20:49
  • Pull request#4Neroxsh2025-06-02 11:18
  • Pull request#3Neroxsh2025-06-02 11:17
  • Issue#1Neroxsh2025-05-28 05:06
    cant find rubric_rm.verl.trainer.main_ppo

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 72 stars here means stars gained during the window, not the repo's star count.