Low rank adaptation
Part of Parameter-efficient adaptation
Low rank adaptation is gaining ground in AI research: 0.2% to 0.2% of new AI papers, +0.0 points. It ranks #90 of 214 by gain in share. As of Oct 10, 2026.
- Change in share
- +0.0 pts
- Share, last 3 months
- 0.2%
- Papers, last 3 months
- 68
- Ready for products
- 2.4 / 5
More in Parameter-efficient adaptation
Linear probing0.0% → 0.0%0.0 ptsLow rank approximation0.0% → 0.0%0.0 ptsLarge language model fine tuning0.0% → 0.0%0.0 ptsPersonalized language model0.0% → 0.0%0.0 ptsParameter efficient transfer learning0.0% → 0.0%0.0 ptsPrompt tuning0.0% → 0.0%0.0 ptsQuantized low rank adaptation0.0% → 0.0%0.0 ptsAdapter tuning0.0% → 0.0%0.0 ptsSoft prompt tuning0.0% → 0.0%0.0 ptsParameter efficient adaptation0.0% → 0.1%0.0 pts
Low rank adaptation: quick answers
Yes. Its share of new AI papers went from 0.2% to 0.2%, with 68 papers in the last 3 months.