Kazuma Hashimoto

According to our database, Kazuma Hashimoto authored at least 49 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning.

Kazuma Hashimoto, Karthik Raman, Michael Bendersky

CoRR, 2023

Ambiguity-Aware In-Context Learning with Large Language Models.

Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky

CoRR, 2023

Exploring the Viability of Synthetic Query Generation for Relevance Prediction.

Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

2022

How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?

Kazuma Hashimoto, Iftekhar Naim, Karthik Raman

CoRR, 2022

GROOT: Corrective Reward Optimization for Generative Sequential Labeling.

Kazuma Hashimoto, Karthik Raman

CoRR, 2022

Converse: A Tree-Based Modular Task-Oriented Dialogue System.

Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong

CoRR, 2022

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering.

Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou

CoRR, 2022

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control.

Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

NaturalCC: An Open-Source Toolkit for Code Intelligence.

Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Transforming Sequence Tagging Into A Seq2Seq Task.

Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering.

Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Modeling Multi-hop Question Answering as Single Sequence Prediction.

Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue.

Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval.

Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.

Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization.

Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher

npj Digit. Medicine, 2021

Field Extraction from Forms with Unlabeled Data.

Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu

CoRR, 2021

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.

Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu

CoRR, 2021

Causal-aware Safe Policy Improvement for Task-oriented dialogue.

Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong

CoRR, 2021

Focused Attention Improves Document-Grounded Generation.

Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers.

Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong

Proceedings of the 9th International Conference on Learning Representations, 2021

Dense Hierarchical Retrieval for Open-domain Question Answering.

Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Parallelizing and optimizing neural Encoder-Decoder models without padding on multi-core architecture.

Yuchen Qiao, Kazuma Hashimoto, Akiko Eriguchi, Haixia Wang, Dongsheng Wang, Yoshimasa Tsuruoka, Kenjiro Taura

Future Gener. Comput. Syst., 2020

Neural Text Generation with Artificial Negative Examples.

Keisuke Shirai, Kazuma Hashimoto, Akiko Eriguchi, Takashi Ninomiya, Shinsuke Mori

CoRR, 2020

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization.

Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir R. Radev, Richard Socher

CoRR, 2020

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.

Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong

CoRR, 2020

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.

Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong

Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering.

Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong

Proceedings of the 8th International Conference on Learning Representations, 2020

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.

Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging.

Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, Nitish Shirish Keskar, Richard Socher, Caiming Xiong

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Building Salesforce Neural Machine Translation System.

Kazuma Hashimoto, Raffaella Buschiazzo, Caiming Xiong, Teresa Marxhall

Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

2019

Incorporating Source-Side Phrase Structures into Neural Machine Translation.

Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka

Comput. Linguistics, 2019

A High-Quality Multilingual Dataset for Structured Documentation Translation.

Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher, Caiming Xiong

Proceedings of the Fourth Conference on Machine Translation, 2019

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction.

Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Multilingual Extractive Reading Comprehension by Runtime Machine Translation.

Akari Asai, Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka

CoRR, 2018

2017

Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture.

Yuchen Qiao, Kazuma Hashimoto, Akiko Eriguchi, Haixia Wang, Dongsheng Wang, Yoshimasa Tsuruoka, Kenjiro Taura

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.

Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation with Source-Side Latent Graph Parsing.

Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Topic detection using paragraph vectors to support active learning in systematic reviews.

Kazuma Hashimoto, Georgios Kontonatsios, Makoto Miwa, Sophia Ananiadou

J. Biomed. Informatics, 2016

Domain Adaptation for Neural Networks by Parameter Augmentation.

Yusuke Watanabe, Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation.

Kazuma Hashimoto, Akiko Eriguchi, Yoshimasa Tsuruoka

Proceedings of the 3rd Workshop on Asian Translation, 2016

Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation.

Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 3rd Workshop on Asian Translation, 2016

Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings.

Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Tree-to-Sequence Attentional Neural Machine Translation.

Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification.

Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization.

Kazuma Hashimoto, Yoshimasa Tsuruoka

Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, 2015

2014

Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures.

Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Simple Customization of Recursive Neural Networks for Semantic Relation Classification.

Kazuma Hashimoto, Makoto Miwa, Yoshimasa Tsuruoka, Takashi Chikayama

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2003

Autonomous Detection of Untraversability of the Path on Rough Terrain for the Remote Controlled Mobile Robots.

Kazuma Hashimoto, Shin'ichi Yuta

Proceedings of the Field and Service Robotics, Recent Advances in Reserch and Applications, 2003