Bjoern Hartmann
Artificial Intelligence · with Wong · 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 Bjoern Hartmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bjoern Hartmann's perspective
Ordered by how strongly the researchers Bjoern Hartmann 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
- Multitask Prompted Training Enables Zero-Shot Task Generalization
- RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
- AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
- 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