WeWorkBuddy

Named entitynamed-entityNewly observed

AutoCompress

LLM pruning must preserve quality while meeting hardware- and workload-specific constraints on latency, throughput, and memory. Existing pruning workflows often target parameter counts, requiring practitioners to manually select model sizes that meet latency, throughput, and GPU memory limits. However, parameter count alone does not predict these metrics, wh

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First observed in our collection
Nov 9, 2026, 8:40 AM UTC
Earliest cited publication
Nov 5, 2026, 4:53 PM UTC
Last observed
Nov 9, 2026, 10:44 AM UTC

Evidence in the last complete seven days

Source mentions
1
Previous seven days 0
Distinct sources
1
Previous 0
Comparable growth
Not comparable
Ranking appearances
0

Collection observations and undated records are separate from dated publication counts. Observed in 7d:0 · Undated records:0

Collection coverage · Comparable windowsCurrent / previous observed days 7 / 7

Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.

Current window:2026-11-02 → 2026-11-09 (end excluded) · History 21 days

Observed source coverage by seven-day window
SourceCurrent daysPrevious daysLast success
arXiv67Nov 9, 2026, 1:15 AM UTC
arXiv76Nov 9, 2026, 6:00 AM UTC
Ask HN77Nov 9, 2026, 6:45 AM UTC
Ask HN77Nov 9, 2026, 6:15 AM UTC
Ask HN77Nov 9, 2026, 6:15 AM UTC
Ask HN77Nov 9, 2026, 6:15 AM UTC
GitHub77Nov 9, 2026, 2:00 AM UTC
GitHub Issues77Nov 9, 2026, 4:45 AM UTC
GitHub Releases75Nov 9, 2026, 1:15 AM UTC
GitHub77Nov 9, 2026, 3:15 AM UTC
GitHub Issues77Nov 9, 2026, 6:00 AM UTC
GitHub Releases77Nov 9, 2026, 6:00 AM UTC
GitHub77Nov 9, 2026, 3:15 AM UTC
GitHub Issues77Nov 9, 2026, 6:15 AM UTC
GitHub Releases77Nov 9, 2026, 6:00 AM UTC
GitHub Discovery40Nov 9, 2026, 6:15 AM UTC
GitHub Trending77Nov 9, 2026, 8:30 AM UTC
Google76Nov 9, 2026, 9:00 AM UTC
Hugging Face76Nov 9, 2026, 9:00 AM UTC
Hugging Face Spaces40Nov 9, 2026, 5:15 AM UTC
Hacker News77Nov 9, 2026, 8:30 AM UTC
Hacker News77Nov 9, 2026, 6:15 AM UTC
Hacker News77Nov 9, 2026, 6:45 AM UTC
Hacker News40Nov 9, 2026, 6:15 AM UTC
Show HN40Nov 9, 2026, 6:15 AM UTC
MIT News76Nov 8, 2026, 8:15 PM UTC
OpenAI77Nov 8, 2026, 12:00 PM UTC
Product Hunt77Nov 9, 2026, 8:30 AM UTC
量子位57Nov 8, 2026, 11:30 AM UTC
OpenRouter40Nov 9, 2026, 10:17 AM UTC
GitHub Trending57Nov 6, 2026, 1:15 PM UTC
Hugging Face Models40Nov 9, 2026, 10:44 AM UTC
HF Daily Papers40Nov 9, 2026, 10:44 AM UTC
OpenRouter40Nov 9, 2026, 10:17 AM UTC
Product Hunt57Nov 6, 2026, 1:15 PM UTC
SEC EDGAR77Nov 8, 2026, 11:00 PM UTC
Sequoia Capital76Nov 9, 2026, 7:15 AM UTC
Simon Willison40Nov 8, 2026, 3:45 PM UTC
TechCrunch77Nov 9, 2026, 10:30 AM UTC
Contracts Finder77Nov 9, 2026, 8:45 AM UTC
V2EX77Nov 9, 2026, 10:30 AM UTC
  • Counts describe monitored public sources, not the whole web or search demand.

Daily history · up to 90 days

Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.

2026-10-262026-11-09
View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-10-260000
2026-10-270000
2026-10-280000
2026-10-290000
2026-10-300000
2026-10-310000
2026-11-010000
2026-11-020000
2026-11-030000
2026-11-040000
2026-11-051100
2026-11-060000
2026-11-070000
2026-11-080000
2026-11-090011
Source reference for AutoCompress: Automated Hardware-Guided Model Compression. Screenshot not yet available.
Source record · preview pending · arxiv.orgOpen the source for the full page.

Source evidence

Sources in the evidence shown:HF Daily Papers 1

  1. HF Daily Papers · Published Nov 5, 2026

    AutoCompress: Automated Hardware-Guided Model Compression

    LLM pruning must preserve quality while meeting hardware- and workload-specific constraints on latency, throughput, and memory. Existing pruning workflows often target parameter counts, requiring practitioners to manually select model sizes that meet latency, throughput, and GPU memory limits. However, parameter count alone does not predict these metrics, wh

Review priority 39 / 100

This score orders research candidates. It is not search volume, a forecast or verified commercial demand.

  • Evidence

    8 / 30

    Distinct dated articles or first observations; repeat crawling adds nothing.

  • Publisher diversity

    8 / 25

    Conservative owner grouping; syndicated copies count once.

  • Comparable change

    0 / 20

    Comparable complete weeks only; no percentage from a zero baseline.

  • Recent evidence

    14.9 / 15

    Latest publication or first observation, not repeated fetch time.

  • Name specificity

    8.5 / 10

    Explicit entities and technical concepts outrank ambiguous acronyms.

Limitations and interpretation

  • First observation is a collection milestone, not proof that a word or product is new to the world.
  • Counts describe monitored public sources, not the whole web or search demand.
  • First observed here is not the invention date of a name or idea.
  • Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
  • Owner grouping is conservative; undisclosed syndication may remain.
  • Repeat ranking appearances are observations, not new articles or independent endorsements.
  • Sources behind this term changed or lack a comparable baseline.
  • Recent evidence includes collection over three days after publication.
  • The previous week is too small for a reliable percentage change.
  • Current evidence comes from one publisher or owner.

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