ENTITY
parameter-efficient fine-tuning (PEFT)
parameter-efficient fine-tuning (PEFT)
PulseAugur coverage of parameter-efficient fine-tuning (PEFT) — every cluster mentioning parameter-efficient fine-tuning (PEFT) across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
-
RotMoLE framework enhances LLM low-rank experts with rotational gating
Researchers have introduced RotMoLE, a novel Mixture-of-Experts (MoE) framework designed to enhance the capabilities of low-rank experts in Large Language Models (LLMs). This framework builds upon MoE-LoRA by incorporat…
-
LOFT framework enhances parameter-efficient fine-tuning with task-aware support selection
Researchers have introduced LOFT, a novel framework for low-rank orthogonal parameter-efficient fine-tuning (PEFT). This method explicitly separates the adaptation subspace from the transformation applied within it, off…