Autonomous Detection of Untraversability of the Path on Rough Terrain for the Remote Controlled Mobile Robots. - Kazuma Hashimoto; Shin'ichi Yuta (FSR, 2003)

Simple Customization of Recursive Neural Networks for Semantic Relation Classification. - Kazuma Hashimoto; Makoto Miwa; Yoshimasa Tsuruoka; Takashi Chikayama (EMNLP, 2013)

Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures. - Kazuma Hashimoto; Pontus Stenetorp; Makoto Miwa; Yoshimasa Tsuruoka (EMNLP, 2014)

Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization. - Kazuma Hashimoto; Yoshimasa Tsuruoka (CVSC, 2015)

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification. - Kazuma Hashimoto; Pontus Stenetorp; Makoto Miwa; Yoshimasa Tsuruoka (CoNLL, 2015)

Tree-to-Sequence Attentional Neural Machine Translation. - Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka (ACL (1), 2016)

Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings. - Kazuma Hashimoto; Yoshimasa Tsuruoka (ACL (1), 2016)

Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation. - Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka (WAT@COLING, 2016)

Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation. - Kazuma Hashimoto; Akiko Eriguchi; Yoshimasa Tsuruoka (WAT@COLING, 2016)

Domain Adaptation for Neural Networks by Parameter Augmentation. - Yusuke Watanabe; Kazuma Hashimoto; Yoshimasa Tsuruoka (Rep4NLP@ACL, 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)

Neural Machine Translation with Source-Side Latent Graph Parsing. - Kazuma Hashimoto; Yoshimasa Tsuruoka (EMNLP, 2017)

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. - Kazuma Hashimoto; Caiming Xiong; Yoshimasa Tsuruoka; Richard Socher (EMNLP, 2017)

Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture. - Yuchen Qiao; Kazuma Hashimoto; Akiko Eriguchi; Haixia Wang 001; Dongsheng Wang 002; Yoshimasa Tsuruoka; Kenjiro Taura (IPDPS Workshops, 2017)

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

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction. - Kazuma Hashimoto; Yoshimasa Tsuruoka (NAACL-HLT (1), 2019)

A High-Quality Multilingual Dataset for Structured Documentation Translation. - Kazuma Hashimoto; Raffaella Buschiazzo; James Bradbury 002; Teresa Marshall; Richard Socher; Caiming Xiong (WMT (1), 2019)

Incorporating Source-Side Phrase Structures into Neural Machine Translation. - Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka (Comput. Linguistics, 2019)

Building Salesforce Neural Machine Translation System. - Kazuma Hashimoto; Raffaella Buschiazzo; Caiming Xiong; Teresa Marxhall (AMTA (2), 2020)

Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging. - Semih Yavuz; Kazuma Hashimoto; Wenhao Liu 003; Nitish Shirish Keskar; Richard Socher; Caiming Xiong (EMNLP (1), 2020)

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. - Jian-Guo Zhang 005; Kazuma Hashimoto; Wenhao Liu 003; Chien-Sheng Wu; Yao Wan 001; Philip S. Yu; Richard Socher; Caiming Xiong (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)

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. - Jian-Guo Zhang 005; Kazuma Hashimoto; Chien-Sheng Wu; Yao Wan 001; Philip S. Yu; Richard Socher; Caiming Xiong (*SEM@COLING, 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)

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir R. Radev; Richard Socher (CoRR, 2020)

Neural Text Generation with Artificial Negative Examples. - Keisuke Shirai; Kazuma Hashimoto; Akiko Eriguchi; Takashi Ninomiya; Shinsuke Mori (CoRR, 2020)

Parallelizing and optimizing neural Encoder-Decoder models without padding on multi-core architecture. - Yuchen Qiao; Kazuma Hashimoto; Akiko Eriguchi; Haixia Wang 001; Dongsheng Wang 002; Yoshimasa Tsuruoka; Kenjiro Taura (Future Gener. Comput. Syst., 2020)

Dense Hierarchical Retrieval for Open-domain Question Answering. - Ye Liu 006; Kazuma Hashimoto; Yingbo Zhou; Semih Yavuz; Caiming Xiong; Philip S. Yu (EMNLP (Findings), 2021)

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. - Shiyang Li; Semih Yavuz; Kazuma Hashimoto; Jia Li 015; Tong Niu; Nazneen Fatema Rajani; Xifeng Yan; Yingbo Zhou; Caiming Xiong (ICLR, 2021)

Focused Attention Improves Document-Grounded Generation. - Shrimai Prabhumoye; Kazuma Hashimoto; Yingbo Zhou; Alan W. Black; Ruslan Salakhutdinov (NAACL-HLT, 2021)

Causal-aware Safe Policy Improvement for Task-oriented dialogue. - Govardana Sachithanandam Ramachandran; Kazuma Hashimoto; Caiming Xiong (CoRR, 2021)

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (CoRR, 2021)

Field Extraction from Forms with Unlabeled Data. - Mingfei Gao; Zeyuan Chen 001; Nikhil Naik; Kazuma Hashimoto; Caiming Xiong; Ran Xu 001 (CoRR, 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 001; Dragomir Radev; Richard Socher (npj Digit. Medicine, 2021)

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Zhiwei Liu 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (ConvAI@ACL, 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 (ACL (Findings), 2022)

[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue. - Govardana Sachithanandam Ramachandran; Kazuma Hashimoto; Caiming Xiong (ACL (1), 2022)

Modeling Multi-hop Question Answering as Single Sequence Prediction. - Semih Yavuz; Kazuma Hashimoto; Yingbo Zhou; Nitish Shirish Keskar; Caiming Xiong (ACL (1), 2022)

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. - Xi Ye; Semih Yavuz; Kazuma Hashimoto; Yingbo Zhou; Caiming Xiong (ACL (1), 2022)

Transforming Sequence Tagging Into A Seq2Seq Task. - Karthik Raman 001; Iftekhar Naim; Jiecao Chen; Kazuma Hashimoto; Kiran Yalasangi; Krishna Srinivasan (EMNLP, 2022)

NaturalCC: An Open-Source Toolkit for Code Intelligence. - Yao Wan 001; Yang He; Zhangqian Bi; Jianguo Zhang 005; Yulei Sui; Hongyu Zhang 002; Kazuma Hashimoto; Hai Jin 001; Guandong Xu; Caiming Xiong; Philip S. Yu (ICSE-Companion, 2022)

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control. - Haopeng Zhang 005; Semih Yavuz; Wojciech Kryscinski; Kazuma Hashimoto; Yingbo Zhou (NAACL-HLT (Findings), 2022)

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. - Man Luo 003; Kazuma Hashimoto; Semih Yavuz; Zhiwei Liu; Chitta Baral; Yingbo Zhou (CoRR, 2022)

Converse: A Tree-Based Modular Task-Oriented Dialogue System. - Tian Xie; Xinyi Yang 002; Angela S. Lin; Feihong Wu; Kazuma Hashimoto; Jin Qu; Young Mo Kang; Wenpeng Yin 001; Huan Wang 014; Semih Yavuz; Gang Wu; Michael Jones 002; et al. (CoRR, 2022)

GROOT: Corrective Reward Optimization for Generative Sequential Labeling. - Kazuma Hashimoto; Karthik Raman 001 (CoRR, 2022)

How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? - Kazuma Hashimoto; Iftekhar Naim; Karthik Raman 001 (CoRR, 2022)

Exploring the Viability of Synthetic Query Generation for Relevance Prediction. - Aditi Chaudhary; Karthik Raman 001; Krishna Srinivasan; Kazuma Hashimoto; Mike Bendersky; Marc Najork (eCom@SIGIR, 2023)

Ambiguity-Aware In-Context Learning with Large Language Models. - Lingyu Gao; Aditi Chaudhary; Krishna Srinivasan; Kazuma Hashimoto; Karthik Raman 001; Michael Bendersky (CoRR, 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 001; Michael Bendersky (NAACL-HLT, 2024)

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models. - Arjun R. Akula; Kazuma Hashimoto; Krishna Srinivasan; Aditi Chaudhary; Karthik Raman 001; Michael Bendersky (CoRR, 2025)