Akhila Yerukola

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 156 citations into it; #35,129 of 35,345 by trust here, #7,172 by citations
• Natural Language Processing — 144 citations into it; #5,660 of 5,688 by trust here, #1,660 by citations
• Large Language Models — 19 citations into it; #796 of 799 by trust here, #601 by citations

Whom Akhila Yerukola trusts overall

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

1. Alec Radford
2. Yoshua Bengio

Who trusts Akhila Yerukola overall

1. Mohit Iyyer

Papers from Akhila Yerukola's perspective

Ordered by how strongly the researchers Akhila Yerukola 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Language Models are Unsupervised Multitask Learners
9. GloVe: Global Vectors for Word Representation
10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers

• The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
• Do Massively Pretrained Language Models Make Better Storytellers? (2019) — 185 citations
• Out of Style: RAG's Fragility to Linguistic Variation (2025)