Vipul Raheja
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 5 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 101 citations into it
- Natural Language Processing — 80 citations into it
- Evaluation & Benchmarks — 51 citations into it
- Large Language Models — 23 citations into it
Whom Vipul Raheja trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Radford
- Hwee Tou Ng
- Jacob Devlin
- Geoffrey E. Hinton
- Alex Wang
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Shamil Chollampatt
- J. Fleiss
Who trusts Vipul Raheja overall
Papers from Vipul Raheja's perspective
Ordered by how strongly the researchers Vipul Raheja trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
- The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction (2019) — 27 citations
- Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision (2022) — 72 citations
- Benchmarking Cognitive Biases in Large Language Models as Evaluators (2023) — 183 citations
- Understanding Iterative Revision from Human-Written Text (2022) — 78 citations