Zishan Guo
Artificial Intelligence · 2023–2025
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 171 citations into it
- Safety, Robustness & Interpretability — 69 citations into it
Whom Zishan Guo trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Zachary Chase Lipton (in Artificial Intelligence)
Papers from Zishan Guo's perspective
Ordered by how strongly the researchers Zishan Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Improving Language Understanding by Generative Pre-Training
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Proximal Policy Optimization Algorithms (arXiv.org)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Qwen3-Omni Technical Report (2025) — 383 citations
- Evaluating Large Language Models: A Comprehensive Survey (2023) — 317 citations
- Large Language Model Alignment: A Survey (2023) — 326 citations