HappyDB: A Corpus of 100, 000 Crowdsourced Happy Moments. - Akari Asai; Sara Evensen; Behzad Golshan; Alon Y. Halevy; Vivian Li; Andrei Lopatenko; Daniela Stepanov; Yoshihiko Suhara; Wang-Chiew Tan; Yinzhan Xu (LREC, 2018)

Multilingual Extractive Reading Comprehension by Runtime Machine Translation. - Akari Asai; Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka (CoRR, 2018)

Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia. - Ikuya Yamada; Akari Asai; Hiroyuki Shindo; Hideaki Takeda 001; Yoshiyasu Takefuji (CoRR, 2018)

Multi-Task Learning based on Separable Formulation of Depth Estimation and its Uncertainty. - Akari Asai; Daiki Ikami; Kiyoharu Aizawa (CVPR Workshops, 2019)

Logic-Guided Data Augmentation and Regularization for Consistent Question Answering. - Akari Asai; Hannaneh Hajishirzi (ACL, 2020)

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia. - Ikuya Yamada; Akari Asai; Jin Sakuma; Hiroyuki Shindo; Hideaki Takeda 001; Yoshiyasu Takefuji; Yuji Matsumoto 001 (EMNLP (Demos), 2020)

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention. - Ikuya Yamada; Akari Asai; Hiroyuki Shindo; Hideaki Takeda 001; Yuji Matsumoto 001 (EMNLP (1), 2020)

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. - Akari Asai; Kazuma Hashimoto; Hannaneh Hajishirzi; Richard Socher; Caiming Xiong (ICLR, 2020)

The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. - Takumi Kawashima; Qing Yu; Akari Asai; Daiki Ikami; Kiyoharu Aizawa (ICPR, 2020)

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. - Lichao Sun 001; Kazuma Hashimoto; Wenpeng Yin 001; Akari Asai; Jia Li 015; Philip S. Yu; Caiming Xiong (CoRR, 2020)

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. - Daya Guo; Akari Asai; Duyu Tang; Nan Duan; Ming Gong 001; Linjun Shou; Daxin Jiang; Jian Yin 001; Ming Zhou 001 (CoRR, 2020)

Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval. - Akari Asai; Eunsol Choi (ACL/IJCNLP (1), 2021)

Efficient Passage Retrieval with Hashing for Open-domain Question Answering. - Ikuya Yamada; Akari Asai; Hannaneh Hajishirzi (ACL/IJCNLP (2), 2021)

MultiModalQA: complex question answering over text, tables and images. - Alon Talmor; Ori Yoran; Amnon Catav; Dan Lahav; Yizhong Wang; Akari Asai; Gabriel Ilharco; Hannaneh Hajishirzi; Jonathan Berant (ICLR, 2021)

XOR QA: Cross-lingual Open-Retrieval Question Answering. - Akari Asai; Jungo Kasai; Jonathan H. Clark; Kenton Lee; Eunsol Choi; Hannaneh Hajishirzi (NAACL-HLT, 2021)

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval. - Akari Asai; Xinyan Yu 001; Jungo Kasai; Hanna Hajishirzi (NeurIPS, 2021)

Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. - Xinyan Yu 001; Trina Chatterjee; Akari Asai; Junjie Hu 001; Eunsol Choi (EMNLP (Findings), 2022)

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. - Akari Asai; Mohammadreza Salehi; Matthew E. Peters; Hannaneh Hajishirzi (EMNLP, 2022)

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. - Akari Asai; Matt Gardner 001; Hannaneh Hajishirzi (NAACL-HLT, 2022)

Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing. - Akari Asai; Mohammadreza Salehi; Matthew E. Peters; Hannaneh Hajishirzi (CoRR, 2022)

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. - Akari Asai; Shayne Longpre; Jungo Kasai; Chia-Hsuan Lee 001; Rui Zhang 037; Junjie Hu 001; Ikuya Yamada; Jonathan H. Clark; Eunsol Choi (CoRR, 2022)

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories. - Alex Mallen; Akari Asai; Victor Zhong; Rajarshi Das; Hannaneh Hajishirzi; Daniel Khashabi (CoRR, 2022)

Task-aware Retrieval with Instructions. - Akari Asai; Timo Schick; Patrick Lewis 001; Xilun Chen 002; Gautier Izacard; Sebastian Riedel 001; Hannaneh Hajishirzi; Wen-tau Yih (ACL (Findings), 2023)

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories. - Alex Mallen; Akari Asai; Victor Zhong; Rajarshi Das; Daniel Khashabi; Hannaneh Hajishirzi (ACL (1), 2023)

xPQA: Cross-Lingual Product Question Answering in 12 Languages. - Xiaoyu Shen 001; Akari Asai; Bill Byrne; Adrià de Gispert (ACL (industry), 2023)

Retrieval-based Language Models and Applications. - Akari Asai; Sewon Min; Zexuan Zhong; Danqi Chen 001 (ACL (tutorial), 2023)

TaskWeb: Selecting Better Source Tasks for Multi-task NLP. - Joongwon Kim; Akari Asai; Gabriel Ilharco; Hannaneh Hajishirzi (EMNLP, 2023)

How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. - Sheng-Chieh Lin; Akari Asai; Minghan Li 002; Barlas Oguz; Jimmy Lin; Yashar Mehdad; Wen-tau Yih; Xilun Chen 002 (EMNLP (Findings), 2023)

Cross-lingual Open-Retrieval Question Answering for African Languages. - Odunayo Ogundepo; Tajuddeen Gwadabe; Clara Rivera; Jonathan H. Clark; Sebastian Ruder; David Ifeoluwa Adelani; Bonaventure Dossou; Abdou Aziz Diop; Claytone Sikasote; Gilles Hacheme; Happy Buzaaba; Ignatius Ezeani; et al. (EMNLP (Findings), 2023)

RealTime QA: What's the Answer Right Now? - Jungo Kasai; Keisuke Sakaguchi; Yoichi Takahashi; Ronan Le Bras 001; Akari Asai; Xinyan Yu 001; Dragomir Radev; Noah A. Smith; Yejin Choi 001; Kentaro Inui (NeurIPS, 2023)

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages. - Odunayo Ogundepo; Tajuddeen R. Gwadabe; Clara E. Rivera; Jonathan H. Clark; Sebastian Ruder; David Ifeoluwa Adelani; Bonaventure F. P. Dossou; Abdou Aziz Diop; Claytone Sikasote; Gilles Hacheme; Happy Buzaaba; Ignatius Ezeani; et al. (CoRR, 2023)

xPQA: Cross-Lingual Product Question Answering across 12 Languages. - Xiaoyu Shen 001; Akari Asai; Bill Byrne; Adrià de Gispert (CoRR, 2023)

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. - Tong Chen; Akari Asai; Niloofar Mireshghallah; Sewon Min; James Grimmelmann; Yejin Choi 001; Hannaneh Hajishirzi; Luke Zettlemoyer; Pang Wei Koh (EMNLP, 2024)

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. - Akari Asai; Zeqiu Wu; Yizhong Wang; Avirup Sil; Hannaneh Hajishirzi (ICLR, 2024)

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. - Akari Asai; Sneha Kudugunta; Xinyan Yu 001; Terra Blevins; Hila Gonen; Machel Reid; Yulia Tsvetkov; Sebastian Ruder; Hannaneh Hajishirzi (NAACL-HLT, 2024)

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. - Rulin Shao; Jacqueline He; Akari Asai; Weijia Shi; Tim Dettmers; Sewon Min; Luke Zettlemoyer; Pang Wei Koh (NeurIPS, 2024)

Fine-grained Hallucination Detection and Editing for Language Models. - Abhika Mishra; Akari Asai; Vidhisha Balachandran; Yizhong Wang; Graham Neubig; Yulia Tsvetkov; Hannaneh Hajishirzi (CoRR, 2024)

Reliable, Adaptable, and Attributable Language Models with Retrieval. - Akari Asai; Zexuan Zhong; Danqi Chen 001; Pang Wei Koh; Luke Zettlemoyer; Hannaneh Hajishirzi; Wen-tau Yih (CoRR, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)

Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment. - Go Kamoda; Akari Asai; Ana Brassard; Keisuke Sakaguchi (COLING, 2025)

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages. - Xiang Yue; Yueqi Song; Akari Asai; Seungone Kim; Jean de Dieu Nyandwi; Simran Khanuja; Anjali Kantharuban; Lintang Sutawika; Sathyanarayanan Ramamoorthy; Graham Neubig (ICLR, 2025)

CodeRAG-Bench: Can Retrieval Augment Code Generation? - Zora Zhiruo Wang; Akari Asai; Xinyan Velocity Yu; Frank F. Xu; Yiqing Xie; Graham Neubig; Daniel Fried (NAACL (Findings), 2025)

Out of Style: RAG's Fragility to Linguistic Variation. - Tianyu Cao; Neel Bhandari; Akhila Yerukola; Akari Asai; Maarten Sap (CoRR, 2025)

Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents. - Prahaladh Chandrahasan; Jiahe Jin; Zhihan Zhang; Tevin Wang; Andy Tang; Lucy Mo; Morteza Ziyadi; Leonardo F. R. Ribeiro; Zimeng Qiu; Markus Dreyer; Akari Asai; Chenyan Xiong (CoRR, 2025)