Dirk Groeneveld
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 9 papers; trusts 46 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 206 citations into it; #26,835 of 35,345 by trust here, #5,788 by citations
- Natural Language Processing — 142 citations into it; #4,909 of 5,688 by trust here, #4,183 by citations
- Computer Vision and Pattern Recognition — 64 citations into it; #19,701 of 21,575 by trust here, #20,756 by citations
- Large Language Models — 61 citations into it
- General Social Sciences — 9 citations into it
Whom Dirk Groeneveld trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Jacob Devlin
- Noam Shazeer
- Ilya Sutskever
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
- Kaiming He
Who trusts Dirk Groeneveld overall
- Iz Beltagy
- Tushar Khot
- Harsh Trivedi
- Arman Cohan
- Daniel Khashabi
- Matthew E. Peters
- Kyle Lo
- Niranjan Balasubramanian
- Ashish Sabharwal
Papers from Dirk Groeneveld's perspective
Ordered by how strongly the researchers Dirk Groeneveld 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus (2021) — 696 citations
- From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project (2019) — 106 citations
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models (2024) — 410 citations
- Construction of the Literature Graph in Semantic Scholar (2018) — 442 citations
- OLMo: Accelerating the Science of Language Models (2024) — 700 citations
- Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research (2024) — 519 citations
- A Simple Yet Strong Pipeline for HotpotQA (2020) — 42 citations
- DataComp-LM: In search of the next generation of training sets for language models (2024) — 374 citations
- Documenting the English Colossal Clean Crawled Corpus (2021) — 51 citations