LoRA (Low-Rank Adaptation)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2022)concept0.881
  Fine-tuning method paper whose technique is used in the fine-tuning experiments
• LoRA Adaptersmethod0.798
  Parameter-efficient fine-tuning method used in both distillation and introspection stages
• LoRA adapterconcept0.775
  Fine-tuning technique that can effectively add a constant vector to the residual stream, equivalent to steering along a persona direction
• LoRA Fine-Tuningmethod0.755
  Adaptation method used via Tinker API for DeepSeek-V3.1 and Qwen3-235B fine-tuning with rank 32
• A LoRA adapter can learn to add a constant vector equivalent to steering along a pre-existing persona direction, making fine-tuning literally equivalent to activation steeringclaim0.738
  Mechanistic explanation of how fine-tuning can shift persona vectors without directly updating activations
• LoRA+CoTmethod0.738
  Fine-tuning with chain-of-thought rationales aiming to reduce dr via procedural alignment.
• LoRA Fine-Tuning with Axolotlmethod0.721
  Specific fine-tuning implementation using LoRA rank 32, learning rate 2e-4, AdamW 8-bit optimizer
• LoRA SFTmethod0.698
  Light fine-tuning method used in E2 to reduce mismatch dr.