Ori Ram
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 8 papers; trusts 222 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 196 citations into it
- Natural Language Processing — 135 citations into it
- Computer Vision and Pattern Recognition — 95 citations into it
- Large Language Models — 62 citations into it
- Information Retrieval & Search — 57 citations into it
- Evaluation & Benchmarks — 46 citations into it
- Retrieval-Augmented Generation — 25 citations into it
- Prompting & Reasoning — 20 citations into it
Whom Ori Ram trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Jimmy Ba
- Alec Radford
- Kaiming He
- Yann LeCun
- Alex Graves
Who trusts Ori Ram overall
- Wayne Xin Zhao
- Or Castel
- Ori Yoran
- Akari Asai
- Yisheng Song
- ES Shahul
- Xiang Deng
- Jian Xie
- Sewon Min
- Yung-Sung Chuang
Papers from Ori Ram's perspective
Ordered by how strongly the researchers Ori Ram trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- 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)
Their papers
- Transformer Language Models without Positional Encodings Still Learn Positional Information (2022) — 193 citations
- Few-Shot Question Answering by Pretraining Span Selection (2021) — 104 citations
- In-Context Retrieval-Augmented Language Models (2023) — 1,053 citations
- Learning to Retrieve Passages without Supervision (2021) — 68 citations
- SenseBERT: Driving Some Sense into BERT (2019) — 203 citations
- Making Retrieval-Augmented Language Models Robust to Irrelevant Context (2023) — 405 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- How Optimal is Greedy Decoding for Extractive Question Answering? (2021) — 5 citations