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RamyaLab/pluralistic-alignment

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The open-source repository for PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment.

active 2025-02-082025-12-30 (UTC)

Complete coverage26,386 / 26,386 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
35
Pushes
3
Pull requests
2
Issues
8
Stars
10
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 326 days from 2025-02-08 to 2025-12-30. Pushes: 3 total, peak 1 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 8 total, peak 2 in a day. Comments: 7 total, peak 2 in a day. Stars: 10 total, peak 2 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
ChenDaiwei-9911205
Lsayan6002
zachhendon2020
aniketrege1100

Recent activity

Latest issues, pull requests and releases

  • Issue#8ChenDaiwei-992025-08-28 04:46
    The implementation of fixed LLM
  • Issue comment#8ChenDaiwei-992025-08-28 02:59
    The implementation of fixed LLM
  • Issue#7Lsayan2025-06-14 13:03
    Specifing User ID while inference
  • Issue#6Lsayan2025-06-10 19:31
    Inference Code for getting the reward score
  • Issue#3ChenDaiwei-992025-05-11 01:55
    ValueError: Can't find 'adapter_config.json' at 'daiweichen/pal-b-large-opt-350m'
  • Issue#5ChenDaiwei-992025-05-11 01:55
    Inferencing code on the reward model
  • Issue comment#5ChenDaiwei-992025-04-26 16:40
    Inferencing code on the reward model
  • Issue comment#5Lsayan2025-04-26 16:08
    Inferencing code on the reward model
  • Issue#5Lsayan2025-04-25 17:22
    What is the format of input for inferencing.
  • Issue#2ChenDaiwei-992025-04-22 05:18
    Can the trained reward model be created without adapter layers?
  • Issue comment#2ChenDaiwei-992025-04-22 05:18
    Can the trained reward model be created without adapter layers?
  • Pull request#4zachhendon2025-04-21 19:08
  • Issue comment#2Lsayan2025-04-19 19:00
    Can the trained reward model be created without adapter layers?
  • Issue comment#3ChenDaiwei-992025-04-17 23:40
    ValueError: Can't find 'adapter_config.json' at 'daiweichen/pal-b-large-opt-350m'
  • Issue comment#2ChenDaiwei-992025-04-17 22:57
    Can the trained reward model be created without adapter layers?
  • Pull request#4zachhendon2025-04-17 03:13
  • Issue#3Lsayan2025-04-14 20:51
    ValueError: Can't find 'adapter_config.json' at 'daiweichen/pal-b-large-opt-350m'

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 10 stars here means stars gained during the window, not the repo's star count.