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yueliu1999/Awesome-Efficient-Inference-for-LRMs

[IEEE T-PAMI] Awesome-Efficient-Inference-for-LRMs is a collection of state-of-the-art, novel, exciting, token-efficient methods for Large Reasoning Models (LRMs). It contains papers, codes, datasets, evaluations, and analyses. https://arxiv.org/pdf/2503.23077

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How fast yueliu1999/Awesome-Efficient-Inference-for-LRMs 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

Oct 14 – Oct 19, 2026

Stars +0 in 6 days

01

Forks +2 in 6 days

01
1

Merged PRs 1 in 6 days

01
1

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

Not in the Trendshift top 25 in this period

Oct 14Oct 15Oct 16Oct 17Oct 18Oct 19
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
Wed, Oct 14, 2026+0+10
Thu, Oct 15, 2026+0+01
Fri, Oct 16, 2026+0+10
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Total+0+21
  • 1#1 on the list
  • 7Rank that day
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