Asai, Akari

11 publications

ICLR 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
NeurIPSW 2024 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, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh
NeurIPSW 2024 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, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh
NeurIPS 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
ICLR 2024 Self-RAG: Learning to Retrieve, Generate, and Critique Through Self-Reflection Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi
NeurIPS 2023 RealTime QA: What's the Answer Right Now? Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
NeurIPSW 2023 Self-RAG: Self-Reflective Retrieval Augmented Generation Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi
ICLR 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
NeurIPS 2021 One Question Answering Model for Many Languages with Cross-Lingual Dense Passage Retrieval Akari Asai, Xinyan Yu, Jungo Kasai, Hanna Hajishirzi
ICLR 2020 Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong
CVPRW 2019 Multi-Task Learning Based on Separable Formulation of Depth Estimation and Its Uncertainty Akari Asai, Daiki Ikami, Kiyoharu Aizawa