Semih Yavuz
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 11 papers; trusts 148 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 271 citations into it; #25,739 of 35,345 by trust here, #5,281 by citations
- Natural Language Processing — 188 citations into it; #3,757 of 5,688 by trust here, #1,418 by citations
- Computer Vision and Pattern Recognition — 64 citations into it
- Evaluation & Benchmarks — 52 citations into it
- Large Language Models — 49 citations into it
- Model Architectures — 23 citations into it
- Optimization & Training — 8 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Semih Yavuz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Oriol Vinyals
- Geoffrey E. Hinton
- Ilya Sutskever
- Jimmy Ba
- Dzmitry Bahdanau
- Alex Krizhevsky
- Jason Aaron Edward Weston
- Alex Graves
Who trusts Semih Yavuz overall
Papers from Semih Yavuz's perspective
Ordered by how strongly the researchers Semih Yavuz trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset (2019) — 246 citations
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling (2019) — 215 citations
- A Simple Language Model for Task-Oriented Dialogue (2020) — 583 citations
- Monotonic Infinite Lookback Attention for Simultaneous Machine Translation (2019) — 218 citations
- DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks (2019) — 81 citations
- RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering (2021) — 212 citations
- SweRank: Software Issue Localization with Code Ranking (2025)
- SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization (2025)
- CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval (2024)
- L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models (2023) — 44 citations
- Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning (2019) — 15 citations