Skip to content

Official implementation of UnifiedReward & [NeurIPS 2025] UnifiedReward-Think & UnifiedReward-Flex

active 2025-03-092026-06-18 (UTC)

Partial coverage12,010 / 13,503 hourly files (89%) · 2 absent upstream · 1,489 failed, retryable2025-01-252026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
609
Pushes
153
Pull requests
0
Issues
76
Stars
266
Forks
11

Activity over time

Daily event counts in the loaded window

Line chart, 467 days from 2025-03-09 to 2026-06-18. Pushes: 153 total, peak 13 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 76 total, peak 10 in a day. Comments: 102 total, peak 8 in a day. Stars: 266 total, peak 25 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
CodeGoat24224153055
kabalao9004
Henglin-Liu6003
MengHao6666003
STAR-CV5003
stardusts-hj4002
duxiaodan4002
darkliang4003
zhang1234344001
pmj1101194001
ArlenCHEN3002
youyuanyi3002
wyn10153001
ZhuFengdaaa2000
g1aces2000
zgp123-wq2001
SuperKenVery2000
wwfnb2000
TimZhang0012001
Sainzerjj2001

Recent activity

Latest issues, pull requests and releases

  • Issue#83CodeGoat242026-03-04 03:05
    UR-Flex seems to have a positional bias
  • Issue comment#84youyuanyi2026-02-10 08:54
    请问下 unifiedreward-flex 需要的环境
  • Issue comment#84youyuanyi2026-02-10 08:26
    请问下 unifiedreward-flex 需要的环境
  • Issue comment#84CodeGoat242026-02-10 08:11
    请问下 unifiedreward-flex 需要的环境
  • Issue comment#82CodeGoat242026-02-08 15:45
    nan values appearing in Style Scores when using UnifiedReward-2.0-qwen3vl-32b
  • Issue#82Alisaleelee2026-02-08 15:35
    nan values appearing in Style Scores when using UnifiedReward-2.0-qwen3vl-32b
  • Issue#81qianyue462-commits2026-01-28 13:58
    UnifiedReward-Think-qwen2.5vl-7b Model about pointwise inference setting
  • Issue#78CodeGoat242025-12-28 07:46
    UnifiedReward-Think-qwen3vl相关模型支持pointwise打分吗
  • Issue comment#76huan0851282025-12-24 04:53
    UnifiedReward-qwen3vl-8b测试效果问题
  • Issue#77CodeGoat242025-12-11 01:20
    使用CodeGoat24/UnifiedReward-Think-qwen-7b是否必须resize到512*512
  • Issue#77MengHao6662025-12-10 17:43
    使用CodeGoat24/UnifiedReward-Think-qwen-7b是否必须resize到512*512
  • Issue comment#76huan0851282025-12-09 11:24
    UnifiedReward-qwen3vl-8b测试效果问题
  • Issue#38CodeGoat242025-12-09 08:25
    Request for example data of grpo_train_data.json and rejection_sampling_train_data.json
  • Issue#22CodeGoat242025-12-09 08:16
    the train config file of llama factory
  • Issue#51CodeGoat242025-12-09 08:15
    Image and Video resizing
  • Issue#40CodeGoat242025-12-09 08:03
    About data arrangement
  • Issue#41CodeGoat242025-12-09 08:02
    Where is the GRPO training configuration?
  • Issue#50CodeGoat242025-12-09 07:54
    image edit score
  • Issue#26CodeGoat242025-12-09 07:52
    qwen_point_score_ACS_image_generation测试效果问题
  • Issue#11CodeGoat242025-12-09 07:51
    Worse quality than sdxl-turbo
  • Issue#47CodeGoat242025-12-09 07:42
    1k训练数据在3B模型上的训练效果
  • Issue#61CodeGoat242025-12-09 07:40
    Unified Reward如何在GenAI-Bench上测试?
  • Issue comment#76CodeGoat242025-12-09 06:32
    测试发现qwen3 vl 8b效果不太好
  • Issue comment#75MengHao6662025-12-07 07:43
    Does only "UnifiedReward-7b-v1.5" do point-score for single image?
  • Issue#75MengHao6662025-12-07 03:19
    Does only "UnifiedReward-7b-v1.5" do point-score for single image?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 266 stars here means stars gained during the window, not the repo's star count.