Dr. Lilian Weng
AI Safety & Systems Researcher | Former VP of Research & Head of Safety Systems at OpenAI
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. Lilian Weng. Every entry undergoes editorial source verification.
Prompt Engineering and In-Context Learning Technical Reference
A comprehensive, deeply cited technical survey on prompt engineering and in-context learning mechanics, reviewing chain-of-thought, self-consistency, directional stimulus prompting, and tree-of-thought search patterns across modern foundation models.
Technical survey and architectural analysis; empirical performance varies significantly between parameter scales and post-training regimes.
LLM-Powered Autonomous Agents: Comprehensive System Design & Architecture Analysis
Landmark reference architecture decomposing autonomous agents into planning (subgoal decomposition, reflection), memory (short-term in-context, long-term vector search), and tool execution loops.
Identifies fundamental limits of finite context windows, reliability bottlenecks in long-term planning, and unreliability of open-ended natural language tool interfaces.