Qian Yang
Artificial Intelligence · with Hartmann · 2023
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Prompting & Reasoning — 7 citations into it
Whom Qian Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Qian Yang's perspective
Ordered by how strongly the researchers Qian Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- On the Opportunities and Risks of Foundation Models
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
- PromptChainer: Chaining Large Language Model Prompts through Visual Programming
- GenLine and GenForm: Two Tools for Interacting with Generative Language Models in a Code Editor
- Zero-Shot Text-to-Image Generation
- AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
- Multitask Prompted Training Enables Zero-Shot Task Generalization
- RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
- Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool
Their papers
- Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts (2023) — 1,195 citations