Isabelle Mohr

Artificial Intelligence · 2024–2025

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Information Retrieval & Search — 11 citations into it

Whom Isabelle Mohr trusts overall

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

1. Omar Khattab
2. Jacob Devlin
3. Ofir Press
4. A. van den Oord
5. Zach Nussbaum

Papers from Isabelle Mohr's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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

• jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval (2025)
• Jina CLIP: Your CLIP Model Is Also Your Text Retriever (2024)
• Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models (2024)