Xiang Yue
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 246 citations into it
- Computer Vision and Pattern Recognition — 76 citations into it
- Prompting & Reasoning — 52 citations into it
Whom Xiang Yue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Tomas Mikolov
- Alex Graves
- Ross B. Girshick
Who trusts Xiang Yue overall
Papers from Xiang Yue's perspective
Ordered by how strongly the researchers Xiang Yue trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning (2023) — 596 citations
- Graph embedding on biomedical networks: methods, applications and evaluations (2019) — 370 citations
- MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark (2024) — 1,918 citations
- Long-context LLMs Struggle with Long In-context Learning (2024) — 375 citations
- MAmmoTH2: Scaling Instructions from the Web (2024) — 170 citations
- OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement (2024) — 279 citations
- MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark (2024) — 489 citations