Zihua Si

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Information Systems — 15 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Zihua Si trusts

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

1. Thorsten Joachims (in Artificial Intelligence)
2. Tie-Yan Liu (in Artificial Intelligence)

Papers from Zihua Si's perspective

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

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Deep Neural Networks for YouTube Recommendations
3. Scaling Laws for Neural Language Models (arXiv.org)
4. Scaling Language Models: Methods, Analysis & Insights from Training Gopher
5. BPR: Bayesian Personalized Ranking from Implicit Feedback
6. Neural Collaborative Filtering
7. Optimizing search engines using clickthrough data
8. Matrix Factorization Techniques for Recommender Systems
9. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
10. Scaling Instruction-Finetuned Language Models (Journal of machine learning research)

Their papers

• Uncovering ChatGPT’s Capabilities in Recommender Systems (2023) — 389 citations