Arjun Panickssery

Artificial Intelligence · 2024

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

Subfields

• Artificial Intelligence — 17 citations into it

Whom Arjun Panickssery trusts overall

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

1. Jeff Wu
2. Jan Leike
3. Eric Mitchell
4. Long Ouyang
5. Nisan Stiennon
6. Daniel M. Ziegler
7. Yoonho Lee
8. David Krueger

Papers from Arjun Panickssery's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Language Models are Unsupervised Multitask Learners

Their papers

• LLM Evaluators Recognize and Favor Their Own Generations (2024) — 594 citations