Ning Shang
Computer Vision and Pattern Recognition · 2024–2025
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 45 citations into it
- Model Architectures — 12 citations into it
Whom Ning Shang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Tri Dao (in Model Architectures)
Papers from Ning Shang's perspective
Ordered by how strongly the researchers Ning Shang trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Unsupervised Multitask Learners
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- Scaling Laws for Neural Language Models (arXiv.org)
- LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
- The Pile: An 800GB Dataset of Diverse Text for Language Modeling
- Training Compute-Optimal Large Language Models (Advances in Neural Information Processing Systems 35)
- Compressive Transformers for Long-Range Sequence Modelling
- Neural Tangent Kernel: Convergence and Generalization in Neural Networks
- Flamingo: a Visual Language Model for Few-Shot Learning (Neural Information Processing Systems)
Their papers
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking (2025) — 336 citations
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs (2025) — 509 citations
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (2024) — 2,340 citations
- LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens (2024) — 360 citations