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microsoft/benchpress

BenchPress: calibrated LLM benchmark score completion

Visit GitHub
Python
34
3
2 contributors
MIT License
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Momentum

How fast microsoft/benchpress is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 1 – Oct 26, 2026

Stars +2 in 56 days

01
1

Forks +1 in 56 days

01
1

Merged PRs 0 in 56 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 1Sep 8Sep 15Sep 22Sep 29Oct 6Oct 13Oct 20
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Sep 1, 2026+0+00
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Mon, Sep 7, 2026+1+00
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Wed, Sep 9, 2026+1+00
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Sat, Oct 3, 2026+0+10
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Mon, Oct 26, 2026+0+00
Total+2+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 251 post
    • It also picks good seed sets. {GPQA-D, HLE, Codeforces, MMLU-Pro, ARC-AGI-1} recovers a model's public profile to ~3.93 MedAE. A cheaper set lands at 4.55. Both beat random. Plus ranking, forecasting…

      Read full on X, posted by @ms_aifrontiers

      @ms_aifrontiers · x.com

  2. Jun 241 post
    • 🧵6/7 In addition, we also show that: - Ranking: A small number of probe benchmarks is enough to preserve model rankings. - Forecasting: Newly released models can be predicted using only earlier…

      Read full on X, posted by @yzeng58

      @yzeng58 · x.com

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