Akari Asai

2.3k total citations · 2 hit papers
25 papers, 817 citations indexed

About

Akari Asai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Akari Asai has authored 25 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 4 papers in Communication. Recurrent topics in Akari Asai's work include Topic Modeling (18 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (11 papers). Akari Asai is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (11 papers). Akari Asai collaborates with scholars based in United States, Japan and United Kingdom. Akari Asai's co-authors include Ikuya Yamada, Hideaki Takeda, Hiroyuki Shindo, Yūji Matsumoto, Hannaneh Hajishirzi, Eunsol Choi, Yoshiyasu Takefuji, Raj Das, Daniel Khashabi and Victor W. Zhong and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Akari Asai

21 papers receiving 774 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

2020 359 citations Ikuya Yamada, Akari Asai et al. profile →
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

2023 95 citations Akari Asai, Victor W. Zhong et al. profile →

Peers

Countries citing papers authored by Akari Asai

Since Specialization

Citations

This map shows the geographic impact of Akari Asai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akari Asai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akari Asai more than expected).

Fields of papers citing papers by Akari Asai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akari Asai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akari Asai. The network helps show where Akari Asai may publish in the future.

Co-authorship network of co-authors of Akari Asai

This figure shows the co-authorship network connecting the top 25 collaborators of Akari Asai. A scholar is included among the top collaborators of Akari Asai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akari Asai. Akari Asai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	CodeRAG-Bench: Can Retrieval Augment Code Generation? 2025 ·(unknown), Akari Asai, (unknown), Frank F. Xu, (unknown), Graham Neubig, Daniel Fried	4
2	BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer 2024 ·Akari Asai, Sneha Kudugunta, (unknown), (unknown), Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi	3
3	CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation 2024 ·(unknown), Akari Asai, (unknown), Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh	1
4	Scaling Retrieval-Based Language Models with a Trillion-Token Datastore 2024 ·Akari Asai, Tim Dettmers, (unknown), Pang Wei Koh, Sewon Min, (unknown), Weijia Shi, Luke Zettlemoyer	0
5	xPQA: Cross-Lingual Product Question Answering in 12 Languages 2023 ·Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert	0
6	Task-aware Retrieval with Instructions 2023 ·Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih	21
7	When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories breakdown → 2023 ·(unknown), Akari Asai, Victor W. Zhong, Raj Das, Daniel Khashabi, Hannaneh Hajishirzi	95
8	Retrieval-based Language Models and Applications 2023 ·Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen	35
9	TaskWeb: Selecting Better Source Tasks for Multi-task NLP 2023 ·(unknown), Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi	1
10	How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval 2023 ·Sheng-Chieh Lin, Akari Asai, (unknown), Barlas Oğuz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen	8
11	Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources 2022 ·(unknown), (unknown), Akari Asai, Junjie Hu, Eunsol Choi	8
12	ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts 2022 ·Akari Asai, (unknown), Matthew E. Peters, Hannaneh Hajishirzi	30
13	Efficient Passage Retrieval with Hashing for Open-domain Question Answering 2021 ·Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi	35
14	XOR QA: Cross-lingual Open-Retrieval Question Answering 2021 ·Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi	48
15	MultiModalQA: Complex Question Answering over Text, Tables and Images 2021 ·arXiv (Cornell University) ·Alon Talmor, (unknown), (unknown), Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant	5
16	Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia 2020 ·Ikuya Yamada, Akari Asai, (unknown), Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji, Yūji Matsumoto	91
17	LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention breakdown → 2020 ·Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yūji Matsumoto	359
18	Multi-Task Learning based on Separable Formulation of Depth Estimation and its Uncertainty 2019 ·Computer Vision and Pattern Recognition ·Akari Asai, Daiki Ikami, Kiyoharu Aizawa	3
19	Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia. 2018 ·arXiv (Cornell University) ·Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji	20
20	Wikipedia2Vec: An Optimized Implementation for Learning Embeddings from Wikipedia 2018 ·arXiv (Cornell University) ·Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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