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"Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

active 2024-10-092026-04-21 (UTC)

Complete coverage26,422 / 26,422 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
93
Pushes
22
Pull requests
1
Issues
9
Stars
39
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 560 days from 2024-10-09 to 2026-04-21. Pushes: 22 total, peak 6 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 9 total, peak 1 in a day. Comments: 14 total, peak 2 in a day. Stars: 39 total, peak 4 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
a-F1258014
ljcc0930141400
suiyize2000
molereddy2000
liranc61010
HaoranTang1000
wuxingywa1000

Recent activity

Latest issues, pull requests and releases

  • Issue#7HaoranTang2025-08-08 17:10
    Reproducing Table 1 on TOFU, and metrics clarification
  • Pull request#6liranc62025-07-31 14:31
  • Issue#5molereddy2025-06-22 18:41
    Implementation of NPO/SimNPO is different for MUSE v/s TOFU
  • Issue comment#5a-F12025-06-22 18:02
    Implementation of NPO/SimNPO is different for MUSE v/s TOFU
  • Issue#5molereddy2025-02-17 20:33
    Implementation of NPO/SimNPO is different for MUSE v/s TOFU
  • Issue comment#4a-F12024-11-09 16:33
    About reward margin parameter γ
  • Issue#4a-F12024-11-09 16:33
    About reward margin parameter γ
  • Issue comment#4a-F12024-11-08 21:29
    About reward margin parameter γ
  • Issue comment#4a-F12024-11-07 12:42
    About reward margin parameter γ
  • Issue#4suiyize2024-11-07 08:51
    About reward margin parameter γ
  • Issue comment#3a-F12024-11-01 11:19
    About training and experiment costs
  • Issue#3a-F12024-11-01 11:19
    About training and experiment costs
  • Issue comment#3a-F12024-10-31 12:58
    About training and experiment costs
  • Issue#3suiyize2024-10-30 12:36
    About training and experiment costs
  • Issue comment#1a-F12024-10-28 17:37
    The training time of "get unlearned model"
  • Issue comment#2a-F12024-10-25 00:40
    Where is "run_synthet.sh"?
  • Issue#2a-F12024-10-25 00:40
    Where is "run_synthet.sh"?
  • Issue comment#2a-F12024-10-23 14:41
    Where is "run_synthet.sh"?
  • Issue#2wuxingywa2024-10-21 07:17
    Where is "run_synthet.sh"?
  • Issue comment#1a-F12024-10-14 01:37
    The training time of "get unlearned model"
  • Issue comment#1a-F12024-10-13 16:38
    The training time of "get unlearned model"
  • Issue comment#1a-F12024-10-11 18:01
    The training time of "get unlearned model"
  • Issue comment#1a-F12024-10-11 13:23
    The training time of "get unlearned model"
  • Issue comment#1a-F12024-10-10 21:37
    The training time of "get unlearned model"

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 39 stars here means stars gained during the window, not the repo's star count.