Felix Yu

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization

Better autoregressive regression with LLMs via regression-aware fine-tuning

Large Language Models are Interpretable Learners

Spark Transformer: How Many FLOPs is a Token Worth?

Asymmetric Embedding Models for Hierarchical Retrieval: Provable Constructions and a Pretrain-Finetune Recipe

Two-stage LLM Fine-tuning with Less Specialization and More Generalization