Dr. Percy Liang
Associate Professor, Stanford University | Director, Center for Research on Foundation Models
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Percy Liang. Every entry undergoes editorial source verification.
Stanford CRFM Alpaca: A Strong, Replicable Instruction-Following Model
The landmark research project that demonstrated high-quality instruction tuning of open foundation models using self-instruct data synthesis at a compute cost under $600, catalyzing the open-source LLM revolution.
Trained on 52k synthetic instructions; subject to hallucination and inherits safety limitations of the underlying foundation model.
Holistic Evaluation of Language Models (HELM)
A multi-dimensional benchmark evaluating foundational LLMs across 42 real-world scenarios and 7 evaluation metrics to eliminate selective benchmark reporting.
Continuous maintenance required as frontier model providers iterate closed alignment weights.