Hailey Schoelkopf
Artificial Intelligence · 2022–2025
A researcher in the Science corpus: 10 papers; trusts 38 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 452 citations into it; #33,054 of 35,345 by trust here, #3,508 by citations
- Large Language Models — 205 citations into it
- Natural Language Processing — 203 citations into it; #5,321 of 5,688 by trust here, #2,106 by citations
- Computer Vision and Pattern Recognition — 97 citations into it
- Information Systems — 95 citations into it
- Model Architectures — 28 citations into it
- Program Analysis & Verification — 16 citations into it; #268 of 301 by trust here, #248 by citations
- Hardware and Architecture — 15 citations into it
Whom Hailey Schoelkopf trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Christian Szegedy
- Alex Graves
- Jimmy Ba
Who trusts Hailey Schoelkopf overall
Papers from Hailey Schoelkopf's perspective
Ordered by how strongly the researchers Hailey Schoelkopf 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
Their papers
- Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling (2023) — 2,009 citations
- Crosslingual Generalization through Multitask Finetuning (2023) — 602 citations
- SantaCoder: don't reach for the stars! (2023) — 247 citations
- StarCoder: may the source be with you! (2023) — 1,263 citations
- ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics (2023) — 189 citations
- A benchmark of expert-level academic questions to assess AI capabilities (2025) — 349 citations
- Llemma: An Open Language Model For Mathematics (2023) — 478 citations
- Emergent and Predictable Memorization in Large Language Models (2023) — 192 citations
- BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting (2022) — 114 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations