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Extrapolating RLVR to General Domains without Verifiers

active 2025-06-232026-04-24 (UTC)

Partial coverage12,959 / 15,182 hourly files (85%) · 2 absent upstream · 2,217 failed, retryable2024-11-162026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
160
Pushes
3
Pull requests
3
Issues
18
Stars
103
Forks
8

Activity over time

Daily event counts in the loaded window

Line chart, 306 days from 2025-06-23 to 2026-04-24. Pushes: 3 total, peak 2 in a day. Pull requests: 3 total, peak 3 in a day. Issues: 18 total, peak 3 in a day. Comments: 23 total, peak 5 in a day. Stars: 103 total, peak 10 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
yiranyyu11313
jibo278026
qxzha4003
hcx-stu3003
JefferyChen4533001
Leon-Francis3003
banjiuyufen2001
zyandtom1001
biburger1000
RLHF-V1000
m22f1000
Lauorie1000
Trae1ounG1000
lu-jun-yu1000
maydaygmail1000
deleteeeee1000
PangziZhang5231001

Recent activity

Latest issues, pull requests and releases

  • Issue#23lu-jun-yu2025-10-02 11:12
    about reward or ppl curve
  • Issue comment#16zyandtom2025-09-25 02:33
    Question about the runtime of main experiments in the RLPR paper
  • Issue#17yiranyyu2025-09-05 12:39
    奖励去偏的问题
  • Issue comment#16hcx-stu2025-09-05 09:47
    Question about the runtime of main experiments in the RLPR paper
  • Issue comment#20jibo272025-09-05 09:12
    Question about ground truth label
  • Issue comment#19jibo272025-09-05 09:07
    generalize to reasoning model
  • Issue#20Trae1ounG2025-08-18 10:44
    Question about ground truth label
  • Issue comment#16PangziZhang5232025-08-11 03:36
    Question about the runtime of main experiments in the RLPR paper
  • Issue comment#12Leon-Francis2025-08-08 14:48
    Question on max_length computation in ray_trainer.py
  • Issue comment#12Leon-Francis2025-08-08 13:34
    Question on max_length computation in ray_trainer.py
  • Issue comment#12jibo272025-08-08 11:56
    Question on max_length computation in ray_trainer.py
  • Issue comment#16hcx-stu2025-08-08 10:27
    Question about the runtime of main experiments in the RLPR paper
  • Issue comment#16jibo272025-08-08 08:38
    Question about the runtime of main experiments in the RLPR paper
  • Issue comment#12Leon-Francis2025-08-07 09:22
    Question on max_length computation in ray_trainer.py
  • Issue comment#16hcx-stu2025-08-06 10:12
    Question about the runtime of main experiments in the RLPR paper
  • Issue#14yiranyyu2025-07-31 10:27
    请问训练过程中保存的模型参数怎么使用vllm进行解码预测?
  • Issue#14maydaygmail2025-07-28 15:27
    请问训练过程中保存的模型参数怎么使用vllm进行解码预测?
  • Issue#13CaptainEven2025-07-25 03:17
    能够用于VLM模型的后训练微调吗?需要修改、适配的多吗?
  • Issue#12JefferyChen4532025-07-24 05:41
    Question on max_length computation in ray_trainer.py
  • Issue comment#12JefferyChen4532025-07-22 09:14
    Question on max_length computation in ray_trainer.py
  • Issue#12JefferyChen4532025-07-22 06:14
    Question on max_length computation in ray_trainer.py
  • Issue comment#10JefferyChen4532025-07-16 08:34
    Question on reward debiasing
  • Issue#10JefferyChen4532025-07-16 08:34
    Question on reward debiasing
  • Issue comment#10yiranyyu2025-07-16 08:29
    Question on reward debiasing
  • Issue comment#11banjiuyufen2025-07-16 08:25
    Regarding the adaptation issue of Qwen3

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 103 stars here means stars gained during the window, not the repo's star count.