Zhengyang Geng
Artificial Intelligence · with Cai · 2024
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Efficiency & Compression — 10 citations into it
Whom Zhengyang Geng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zhengyang Geng's perspective
Ordered by how strongly the researchers Zhengyang Geng trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Training Compute-Optimal Large Language Models (Advances in Neural Information Processing Systems 35)
- The Curious Case of Neural Text Degeneration
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads (2024) — 809 citations