#lora
- MinT: Managed Infrastructure for Training and Serving Millions of LLMs Mind Lab research
- Program-as-Weights: Compiling Task Specs into LoRA Adapters for On-Device Inference University of Waterloo / Harvard research
- Super Weights in LLMs: Why High-Salience Parameters Fail as Fine-Tuning Targets Amazon research
- Code2LoRA: Hypernetwork Generates Repo-Specific Adapters for Code LMs with Zero Inference Overhead University of Waterloo research
- Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA Mind Lab research