Parameter-efficient adaptation
A research field
Parameter-efficient adaptation is gaining ground in AI research: 0.6% to 0.7% of new AI papers, +0.1 points. It ranks #14 of 44 by gain in share. As of Oct 10, 2026.
- Change in share
- +0.1 pts
- Share, last 3 months
- 0.7%
- Papers, last 3 months
- 225
- Ready for products
- 2.5 / 5
Ideas in this field
Low rank adaptation0.2% → 0.2%+0.0 ptsLinear 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 pts
Parameter-efficient adaptation: quick answers
Yes. Its share of new AI papers went from 0.6% to 0.7%, with 225 papers in the last 3 months.