Akari Asai

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 16 papers; trusts 822 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 471 citations into it; #5,185 of 35,345 by trust here, #2,759 by citations
• Natural Language Processing — 293 citations into it; #1,511 of 5,688 by trust here, #1,453 by citations
• Computer Vision and Pattern Recognition — 225 citations into it; #5,431 of 21,575 by trust here, #3,075 by citations
• Information Retrieval & Search — 130 citations into it; #700 of 1,022 by trust here, #409 by citations
• Large Language Models — 93 citations into it
• Evaluation & Benchmarks — 90 citations into it; #2,589 of 3,147 by trust here, #2,095 by citations
• Retrieval-Augmented Generation — 54 citations into it; #55 of 99 by trust here, #53 by citations
• Prompting & Reasoning — 32 citations into it

Whom Akari Asai trusts overall

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

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

Who trusts Akari Asai overall

1. Sewon Min
2. Danqi Chen
3. Alex Troy Mallen
4. Gautier Izacard
5. Yuyu Zhang
6. Hannaneh Hajishirzi
7. Alon Talmor
8. Wen-tau Yih
9. Ori Yoran
10. Chia-Hsuan Lee

Papers from Akari Asai's perspective

Ordered by how strongly the researchers Akari Asai 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. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering (2019) — 327 citations
• MultiModalQA: Complex Question Answering over Text, Tables and Images (2021) — 252 citations
• Multilingual Extractive Reading Comprehension by Runtime Machine Translation (2018) — 61 citations
• Task-aware Retrieval with Instructions (2022) — 139 citations
• When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories (2022) — 199 citations
• When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories (2022) — 1,304 citations
• RealTime QA: What's the Answer Right Now? (2022) — 301 citations
• One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval (2021) — 83 citations
• Logic-Guided Data Augmentation and Regularization for Consistent Question Answering (2020) — 126 citations
• LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention (2020) — 780 citations
• Efficient Passage Retrieval with Hashing for Open-domain Question Answering (2021) — 99 citations
• Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT (2020) — 117 citations
• Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks (2021) — 61 citations
• CodeRAG-Bench: Can Retrieval Augment Code Generation? (2024)
• Retrieval-based Language Models and Applications (2023) — 142 citations
• Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection (2023) — 2,215 citations