Zobrazeno 1 - 10
of 354
pro vyhledávání: '"Yamada, Ikuya"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 7, Pp 387-401 (2019)
Adversarial evaluation stress-tests a model’s understanding of natural language. Because past approaches expose superficial patterns, the resulting adversarial examples are limited in complexity and diversity. We propose human- in-the-loop adversar
Externí odkaz:
https://doaj.org/article/1dd0a9a941164ca08ee56ff3d58b3044
Autor:
Yamada, Ikuya, Ri, Ryokan
Adapting English-based large language models (LLMs) to other languages has become increasingly popular due to the efficiency and potential of cross-lingual transfer. However, existing language adaptation methods often overlook the benefits of cross-l
Externí odkaz:
http://arxiv.org/abs/2402.11485
Autor:
Bacq-Labreuil, Benjamin, Fawaz, Chafic, Okazaki, Yuichi, Obata, Yukiko, Cercellier, Hervé, Lefevre, Patrick, Bertran, François, Santos-Cottin, David, Yamamoto, Hajime, Yamada, Ikuya, Azuma, Masaki, Horiba, Koji, Kumigashira, Hiroshi, d'Astuto, Matteo, Biermann, Silke, Lenz, Benjamin
We study two related universal anomalies of the spectral function of cuprates, so called waterfall and high-energy kink features, by a combined cellular dynamical mean-field theory and angle-resolved photoemission study for the oxychloride Na$_x$Ca$_
Externí odkaz:
http://arxiv.org/abs/2312.14381
Autor:
Higashiyama, Shohei, Ouchi, Hiroki, Teranishi, Hiroki, Otomo, Hiroyuki, Ide, Yusuke, Yamamoto, Aitaro, Shindo, Hiroyuki, Matsuda, Yuki, Wakamiya, Shoko, Inoue, Naoya, Yamada, Ikuya, Watanabe, Taro
Geoparsing is a fundamental technique for analyzing geo-entity information in text. We focus on document-level geoparsing, which considers geographic relatedness among geo-entity mentions, and presents a Japanese travelogue dataset designed for evalu
Externí odkaz:
http://arxiv.org/abs/2305.13844
Autor:
Lebert, Blair W., Bacq-Labreuil, Benjamin, Dean, Mark P. M., Ruotsalainen, Kari, Nicolaou, Alessandro, Huotari, Simo, Yamada, Ikuya, Yamamoto, Hajime, Azuma, Masaki, Brookes, Nicholas B., Yakhou, Flora, Miao, Hu, Santos-Cottin, David, Lenz, Benjamin, Biermann, Silke, d'Astuto, Matteo
Publikováno v:
Phys. Rev. B 108, 024506 (2023)
Using Resonant Inelastic X-ray Scattering, we measure the paramagnon dispersion and damping of undoped, antiferromagnetic Ca$_2$CuO$_2$Cl$_2$ as well as doped, superconducting Na$_{x}$Ca$_{2-x}$CuO$_2$Cl$_2$. Our estimation of the spin-exchange param
Externí odkaz:
http://arxiv.org/abs/2303.04139
Autor:
Asai, Akari, Longpre, Shayne, Kasai, Jungo, Lee, Chia-Hsuan, Zhang, Rui, Hu, Junjie, Yamada, Ikuya, Clark, Jonathan H., Choi, Eunsol
We present the results of the Workshop on Multilingual Information Access (MIA) 2022 Shared Task, evaluating cross-lingual open-retrieval question answering (QA) systems in 16 typologically diverse languages. In this task, we adapted two large-scale
Externí odkaz:
http://arxiv.org/abs/2207.00758
We present EASE, a novel method for learning sentence embeddings via contrastive learning between sentences and their related entities. The advantage of using entity supervision is twofold: (1) entities have been shown to be a strong indicator of tex
Externí odkaz:
http://arxiv.org/abs/2205.04260
Recent studies have shown that multilingual pretrained language models can be effectively improved with cross-lingual alignment information from Wikipedia entities. However, existing methods only exploit entity information in pretraining and do not e
Externí odkaz:
http://arxiv.org/abs/2110.08151
We present a multilingual bag-of-entities model that effectively boosts the performance of zero-shot cross-lingual text classification by extending a multilingual pre-trained language model (e.g., M-BERT). It leverages the multilingual nature of Wiki
Externí odkaz:
http://arxiv.org/abs/2110.07792
Autor:
Shimono, Seiya, Oshita, Masaya, Goto, Manami, Okazaki, Yuichi, Araki, Koji, Hata, Yoshiaki, Murata, Hidenobu, Yamada, Ikuya, Kishimura, Hiroaki
Publikováno v:
In Journal of Solid State Chemistry June 2024 334