Adapter tuning
Part of Parameter-efficient adaptation
Adapter tuning is holding steady in AI research: 0.0% to 0.0% of new AI papers, 0.0 points. As of Oct 10, 2026.
- Change in share
- 0.0 pts
- Share, last 3 months
- 0.0%
- Papers, last 3 months
- 10
- Ready for products
- 2.7 / 5
More in Parameter-efficient adaptation
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 ptsSoft prompt tuning0.0% → 0.0%0.0 ptsParameter efficient adaptation0.0% → 0.1%0.0 pts
Adapter tuning: quick answers
No. Its share of new AI papers went from 0.0% to 0.0%, with 10 papers in the last 3 months.