Björn Ross

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it; #31,910 of 35,345 by trust here, #10,566 by citations
• Natural Language Processing — 47 citations into it
• Safety, Robustness & Interpretability — 23 citations into it
• Large Language Models — 19 citations into it
• Statistical and Nonlinear Physics — 14 citations into it; #8,915 of 10,127 by trust here, #7,402 by citations
• Communication — 10 citations into it
• General Social Sciences — 8 citations into it
• Social Sciences & Humanities — 5 citations into it

Whom Björn Ross trusts overall

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

1. Klaus Krippendorff
2. Zeerak Talat
3. William Warner
4. Roberto Navigli
5. Dirk Hovy
6. Julia Hirschberg
7. Jan vom Brocke
8. Geoffrey E. Hinton
9. Li Lucy
10. David M. Blei

Who trusts Björn Ross overall

1. Shervin Malmasi
2. Serra Sinem Tekiroğlu
3. Maarten Sap
4. Zeerak Talat
5. Tommaso Caselli
6. Samuel Gehman
7. Bertie Vidgen
8. Joni O. Salminen
9. Marcos Zampieri
10. José Ramón Saura

Papers from Björn Ross's perspective

Ordered by how strongly the researchers Björn Ross 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. ImageNet classification with deep convolutional neural networks
7. Language Models are Unsupervised Multitask Learners
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis (2016) — 434 citations
• Social media analytics - Challenges in topic discovery, data collection, and data preparation (2018) — 736 citations
• Biases in Large Language Models: Origins, Inventory, and Discussion (2023) — 526 citations