Zeynep Akkalyoncu Yilmaz

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 4 papers; trusts 359 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it; #12,644 of 35,345 by trust here, #15,866 by citations
• Information Retrieval & Search — 54 citations into it; #389 of 1,022 by trust here, #492 by citations
• Natural Language Processing — 42 citations into it
• Information Systems — 34 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Evaluation & Benchmarks — 19 citations into it
• Large Language Models — 14 citations into it
• Representation & Self-Supervised Learning — 14 citations into it

Whom Zeynep Akkalyoncu Yilmaz trusts overall

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

1. Jimmy J. Lin
2. Wei Yang
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Ellen M. Voorhees
6. Yoshua Bengio
7. Jacob Devlin
8. Peilin Yang
9. Haotian Zhang
10. Thorsten Joachims

Who trusts Zeynep Akkalyoncu Yilmaz overall

1. Jimmy J. Lin
2. Rodrigo Nogueira
3. Peng Shi
4. Sebastian Hofstätter
5. Omar Khattab
6. Andrew Yates
7. Xinyu Crystina Zhang
8. Wei Yang
9. Nick Craswell
10. Ramith Padaki

Papers from Zeynep Akkalyoncu Yilmaz's perspective

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

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

Their papers

• Applying BERT to Document Retrieval with Birch (2019) — 128 citations
• Academic Abstract Generation with LLMs (2025)
• Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval (2019) — 170 citations
• Cross-Domain Sentence Modeling for Relevance Transfer with BERT (2019)