Zhiqiang Li

Efficiency & Compression · with Zhang · 2023

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

• Efficiency & Compression — 13 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Zhiqiang Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tim Dettmers

Papers from Zhiqiang Li's perspective

Ordered by how strongly the researchers Zhiqiang Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Pointer Sentinel Mixture Models
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet classification with deep convolutional neural networks
7. Long Short-Term Memory
8. Measuring Massive Multitask Language Understanding
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. HellaSwag: Can a Machine Really Finish Your Sentence?

Their papers

• OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models (2023) — 460 citations