#processrewardmodel

Live, measured metrics for the hashtag #processrewardmodel from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 04:34 UTC
0
07-22
0
07-23
0
07-24
0
07-25
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07-26
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07-27
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07-28

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 04:34 UTC

No related tags with measured usage found for #processrewardmodel.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 04:34 UTC

Everything below is measured over the latest 2 public posts (spanning ~1909 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 0.5

Top of the latest posts

  • fly51fly (@fly51fly) UC San Diego와 Amazon 연구진이 다중 턴 강화학습(RL)을 위한 Process Reward Model(PRM) 기반 트리 롤아웃 방법을 제안한 논문입니다. 최종 결과 보상뿐 아니라 중간 추론 과정의 보상 신호를 활용해, 장기 상호작용 환경에서 더 효과적인 탐색·학습을 목표로 합니다. https://x.com/fly51fly/status/2079321955090702452 #r

    ainews@[email protected]♥ 0↻ 12026-07-21 07:54 UTCView post →

  • JMoon (@Jmoon_174) RLVR와 process reward models가 정답 여부뿐 아니라 중간 추론 단계에 보상을 주어, 단순 패턴 매칭이 아니라 실제 추론 능력을 학습시키는 핵심 방법이라는 설명이다. AI 추론 학습 연구의 중요한 기술적 통찰로 볼 수 있다. https://x.com/Jmoon_174/status/2050592670964412618 #rlvr #processrewardmodel #reasoni

    ainews@[email protected]♥ 0↻ 02026-05-02 18:46 UTCView post →

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/processrewardmodel