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researcher

Chien-Ping Lu

3 papers hereh-index 61.7k citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.DC1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedAI, Native Supercomputing and The Revival of Moore's Law

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2026

Continued AI Scaling Requires Repeated Efficiency Doublings

Chien-Ping Lu

This paper argues that continued AI scaling requires repeated efficiency doublings. Classical AI scaling laws remain useful because they make progress predictable despite diminishi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.