Min Zhang
Artificial Intelligence · with Wang · 2023
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it
- Natural Language Processing — 12 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Min Zhang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin (in Natural Language Processing)
- Daniel Klein (in Artificial Intelligence)
- Nikita Kitaev (in Artificial Intelligence)
Papers from Min Zhang's perspective
Ordered by how strongly the researchers Min Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- The Curious Case of Neural Text Degeneration
- ROUGE: A Package for Automatic Evaluation of Summaries
- Decoupled Weight Decay Regularization
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Multitask Prompted Training Enables Zero-Shot Task Generalization
- The Pile: An 800GB Dataset of Diverse Text for Language Modeling
- Scaling Instruction-Finetuned Language Models (Journal of machine learning research)
- Self-Instruct: Aligning Language Models with Self-Generated Instructions (Annual Meeting of the Association for Computational Linguistics)