Elena Gribovskaya

Artificial Intelligence · 2008–2025

A researcher in the Science corpus: 8 papers; trusts 37 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 163 citations into it
• Natural Language Processing — 87 citations into it
• Computer Vision and Pattern Recognition — 64 citations into it
• Model Architectures — 20 citations into it
• Retrieval-Augmented Generation — 19 citations into it

Whom Elena Gribovskaya trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Lawrence R. Rabiner
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Graves
5. Diederik P. Kingma
6. Ilya Sutskever
7. Tomas Mikolov
8. Alex Krizhevsky
9. Yann LeCun
10. Kaiming He

Who trusts Elena Gribovskaya overall

1. Rohan Chitnis
2. Shubham Tulsiani
3. Saurabh Gupta
4. Ana Lucia Pais
5. Omar Khattab
6. Abhinav Kumar Gupta

Papers from Elena Gribovskaya's perspective

Ordered by how strongly the researchers Elena Gribovskaya trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) — 1,640 citations
• Internet-augmented language models through few-shot prompting for open-domain question answering (2022) — 177 citations
• Mind the Gap: Assessing Temporal Generalization in Neural Language Models (2021) — 298 citations
• StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models (2022) — 140 citations
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
• Combining Dynamical Systems control and programming by demonstration for teaching discrete bimanual coordination tasks to a humanoid robot (2008) — 56 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Pitfalls of Static Language Modelling (2021) — 54 citations