Seungone Kim

Evaluation & Benchmarks · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Evaluation & Benchmarks — 32 citations into it
• Natural Language Processing — 23 citations into it

Whom Seungone Kim trusts overall

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

1. Chin-Yew Lin
2. Tianyi Zhang
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Alex Krizhevsky
8. Salim Roukos
9. Lianmin Zheng
10. Kalpesh Krishna

Papers from Seungone Kim's perspective

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

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

Their papers

• Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models (2024) — 471 citations
• Better Instruction-Following Through Minimum Bayes Risk (2024)
• Prometheus: Inducing Fine-grained Evaluation Capability in Language Models (2023) — 564 citations