Jon Ander Campos

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 6 papers; trusts 107 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 181 citations into it; #33,671 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 118 citations into it; #5,228 of 5,688 by trust here, #3,897 by citations
• Large Language Models — 65 citations into it; #712 of 799 by trust here, #689 by citations
• Computer Vision and Pattern Recognition — 48 citations into it
• Evaluation & Benchmarks — 38 citations into it
• Reinforcement Learning — 36 citations into it
• Alignment & RLHF — 18 citations into it; #36 of 62 by trust here, #43 by citations
• Safety, Robustness & Interpretability — 18 citations into it

Whom Jon Ander Campos trusts overall

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

1. Alec Radford
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Alex Krizhevsky
7. Kaiming He
8. Yann LeCun
9. Richard Socher
10. Alex Graves

Who trusts Jon Ander Campos overall

1. Angelica Chen
2. Tomasz Korbak

Papers from Jon Ander Campos's perspective

Ordered by how strongly the researchers Jon Ander Campos 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. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Training Language Models with Language Feedback at Scale (2023) — 138 citations
• Spot the Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems (2020) — 41 citations
• Learning from Natural Language Feedback (2024) — 29 citations
• NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark (2023) — 382 citations
• Training Language Models with Natural Language Feedback (2022)
• Training Language Models with Language Feedback (2022) — 58 citations