Publications

2022

• Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi
  Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
  [Paper] / [Code]

• Xinyan Yu-, Akari Asai-, Trina Chatterjee, Junjie Hu, Eunsol Choi
  Beyond Counting Datasets: Investigating Multilingual Dataset Construction and Necessary Resources
  Findings of Empirical Methods in Natural Language Processing (EMNLP), 2022.
  [Paper]

• Akari Asai, Matt Gardner, and Hannaneh Hajishirzi
  Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
  Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022 (oral).
  [Paper] / [Code]

• Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H Clark, and Eunsol Choi
  MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages
  Workshop on Multilingual Information Access, 2022.
  [Paper] / [Code] / [EvalAI Competition Site]

2021

• Akari Asai, Xinyan Yu, Jungo Kasai, and Hannaneh Hajishirzi
  One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
  Conference on Neural Information Processing Systems (NeurIPS), 2021.
  [Paper] / [Code] / [Talk] / [Slides] / [Poster]

• Akari Asai, and Eunsol Choi
  Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval
  The Annual Conference of the Association for Computational Linguistics (ACL), 2021.
  [Paper] / [Code] / [Poster] / [Slides]

• Ikuya Yamada, Akari Asai, and Hannaneh Hajishirzi
  Efficient Passage Retrieval with Hashing for Open-domain Question Answering
  The Annual Conference of the Association for Computational Linguistics (ACL), 2021.
  [Paper] / [Code]

• Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, and Hannaneh Hajishirzi
  XOR QA: Cross-lingual Open-Retrieval Question Answering
  Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021 (oral).
  [Project] / [Paper] / [Code] / [Poster] / [Slides]

• Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, and Jonathan Berant
  MultiModalQA: Complex Question Answering over Text, Tables and Images
  International Conference on Learning Representations (ICLR), 2021.
  [Project] / [OpenReview]

2020

• Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto
  LUKE: Deep Contextualized Entity Representations withEntity-aware Self-attention
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
  [Paper] / [Code] / [Video]

• Ikuya Yamada, Akari Asai, Jin Sakuma, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji, and Yuji Matsumoto.
  Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia
  Conference on Empirical Methods in Natural Language Processing (EMNLP), system demonstrations, 2020.
  [Paper] / [Code] / [Project]

• Akari Asai, and Hannaneh Hajishirzi
  Logic-guided Data Augmentation and Regularization for Consistent Question Answering
  The Annual Conference of the Association for Computational Linguistics (ACL), 2020.
  [Paper] / [Code] / [Video]

• Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, and Caiming Xiong
  Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
  International Conference on Learning Representations (ICLR), 2020.
  [Paper] / [OpenReview] / [Code] / [Slides] / [Video]

Publications before Ph.D.

• Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa.
  The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
  International Conference on Pattern Recognition (ICPR), 2020.
  [Paper]

• Akari Asai, Ikami Daiki, and Kiyoharu Aizawa
  Multi-task Learning based on Separable Formulation of Depth Estimation and its Uncertainty
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Uncertainty and Robustness in Deep Visual Learning, 2019.
  [Paper] / [Poster]

• Akari Asai, Sara Evensen, Behzad Golshan, Alon Halevy, Vivian Li, Andrei Lopatenko, Daniela Stepanov, Yoshihiko Suhara, Wang-Chiew Tan, Yinzhan Xu
  HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments
  International Conference on Language Resources and Evaluation (LREC), 2018.
  [Project] / [Paper] / [Shared task at AAAI 2019] / [MIT Technology Review]

• Akari Asai, Vivian Li, Daniela Stepanov, and Wang-Chiew Tan
  A Data-Driven Approach to Understanding Happiness
  Widening NLP Workshop (WiNLP), 2017.
  [Project] / [Paper]

Preprints

• Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, and Wen-tau Yih
  Task-aware Retrieval with Instructions
  Preprint abs/2211.09260, 2022.
  [Paper]

• Alex Mallen^, Akari Asai^, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, and Daniel Khashabi
  When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories
  Preprint.
  [Paper]