Orion Weller
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 7 papers; trusts 79 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 213 citations into it
- Natural Language Processing — 91 citations into it
- Evaluation & Benchmarks — 73 citations into it
- Computer Vision and Pattern Recognition — 60 citations into it
- Information Retrieval & Search — 21 citations into it
- Model Architectures — 14 citations into it
- Language and Linguistics — 5 citations into it
Whom Orion Weller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Ronald J. Williams
- Yann LeCun
- Kaiming He
- Maja Popovic
- Alex Graves
Who trusts Orion Weller overall
- Qinyuan Ye
- Timo Schick
- Swaroop Mishra
- Xiang Ren
- Hinrich Schütze
- Jonathan Bragg
- Mihir Parmar
- Mingda Chen
- Yizhong Wang
- Daniel Khashabi
Papers from Orion Weller's perspective
Ordered by how strongly the researchers Orion Weller trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- A benchmark of expert-level academic questions to assess AI capabilities (2025) — 349 citations
- “According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data (2023) — 63 citations
- mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval (2025)
- Seq vs Seq: An Open Suite of Paired Encoders and Decoders (2025)
- mmBERT: A Modern Multilingual Encoder with Annealed Language Learning (2025)
- Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference (2024) — 713 citations
- Learning from Task Descriptions (2020) — 98 citations