Katsuhiko Hayashi

75 papers A* 5A 1B 4C 1Misc 1Journal 34Unranked 29
YearRankTypeTitle / Venue / Authors
2026 — conf
Beyond Sampling: Self-Sorting for Long-Context Ranking.
EACL (Findings)
Juseon-Do, Sungwoo Han, Jingun Kwon, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2025 — conf
A Simple but Effective Closed-Form Solution for Extreme Multi-label Learning.
ECIR (3)
Kazuma Onishi, Katsuhiko Hayashi
2025 J jnl
A Simple but Effective Closed-form Solution for Extreme Multi-label Learning.
CoRR
Kazuma Onishi, Katsuhiko Hayashi
2025 — conf
Accurate and Diverse Recommendations via Propensity-Weighted Linear Autoencoders.
SIGIR-AP
Kazuma Onishi, Katsuhiko Hayashi, Hidetaka Kamigaito
2025 J jnl
Accurate and Diverse Recommendations via Propensity-Weighted Linear Autoencoders.
CoRR
Kazuma Onishi, Katsuhiko Hayashi, Hidetaka Kamigaito
2025 J jnl
Can Impressions of Music be Extracted from Thumbnail Images?
CoRR
Takashi Harada, Takehiro Motomitsu, Katsuhiko Hayashi, Yusuke Sakai, Hidetaka Kamigaito
2025 — conf
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding.
ACL (1)
Hidetaka Kamigaito, Hiroyuki Deguchi, Yusuke Sakai, Katsuhiko Hayashi, Taro Watanabe
2025 J jnl
Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws.
CoRR
Hidetaka Kamigaito, Ying Zhang, Jingun Kwon, Katsuhiko Hayashi, Manabu Okumura, Taro Watanabe
2025 J jnl
From Formal Language Theory to Statistical Learning: Finite Observability of Subregular Languages.
CoRR
Katsuhiko Hayashi, Hidetaka Kamigaito
2025 B conf
How Panel Layouts Define Manga: Insights from Visual Ablation Experiments.
CogSci
Siyuan Feng, Teruya Yoshinaga, Katsuhiko Hayashi, Koki Washio, Hidetaka Kamigaito
2025 B conf
IRR: Image Review Ranking Framework for Evaluating Vision-Language Models.
COLING
Kazuki Hayashi, Kazuma Onishi, Toma Suzuki, Yusuke Ide, Seiji Gobara, Shigeki Saito, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2025 J jnl
TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation.
CoRR
Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Jingun Kwon, Hidetaka Kamigaito, Katsuhiko Hayashi, Manabu Okumura, Taro Watanabe
2025 J jnl
The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting.
CoRR
Masayo Tomita, Katsuhiko Hayashi, Tomoyuki Kaneko
2025 — conf
Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models.
NAACL (Findings)
Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2025 Misc conf
Visual Priming Effect on Large-scale Vision Language Models.
RANLP
Daiki Yoshida, Haruki Sakajo, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2024 J jnl
Artwork Explanation in Large-scale Vision Language Models.
CoRR
Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2024 — conf
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
NAACL-HLT
Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2024 J jnl
Evaluating Image Review Ability of Vision Language Models.
CoRR
Shigeki Saito, Kazuki Hayashi, Yusuke Ide, Yusuke Sakai, Kazuma Onishi, Toma Suzuki, Seiji Gobara, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2024 J jnl
How Panel Layouts Define Manga: Insights from Visual Ablation Experiments.
CoRR
Siyuan Feng, Teruya Yoshinaga, Katsuhiko Hayashi, Koki Washio, Hidetaka Kamigaito
2024 J jnl
Investigation of the Inference Capabilities and Memorization of Pre-trained Language Models.
J. Nat. Lang. Process.
Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2024 J jnl
Multi-label Learning with Random Circular Vectors.
CoRR
Ken Nishida, Kojiro Machi, Kazuma Onishi, Katsuhiko Hayashi, Hidetaka Kamigaito
2024 J jnl
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding.
CoRR
Hidetaka Kamigaito, Hiroyuki Deguchi, Yusuke Sakai, Katsuhiko Hayashi, Taro Watanabe
2024 — conf
Towards Artwork Explanation in Large-scale Vision Language Models.
ACL (Short Papers)
Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2024 J jnl
Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models.
CoRR
Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2024 J jnl
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain.
CoRR
Shintaro Ozaki, Yuta Kato, Siyuan Feng, Masayo Tomita, Kazuki Hayashi, Ryoma Obara, Masafumi Oyamada, Katsuhiko Hayashi, Hidetaka Kamigaito, Taro Watanabe
2024 J jnl
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding.
CoRR
Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2023 J jnl
Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng.
Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo
2023 J jnl
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
CoRR
Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2023 J jnl
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation.
CoRR
Katsuhiko Hayashi, Kazuma Onishi
2023 — conf
Model-based Subsampling for Knowledge Graph Completion.
IJCNLP (1)
Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2023 J jnl
Model-based Subsampling for Knowledge Graph Completion.
CoRR
Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2023 — conf
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models.
ACL (2)
Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2023 J jnl
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models.
CoRR
Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
2023 J jnl
Using Wikipedia Editor Information to Build High-performance Recommender Systems.
CoRR
Katsuhiko Hayashi
2022 A* conf
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning.
ICML
Hidetaka Kamigaito, Katsuhiko Hayashi
2022 J jnl
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning.
CoRR
Hidetaka Kamigaito, Katsuhiko Hayashi
2022 A* conf
Rethinking Correlation-based Item-Item Similarities for Recommender Systems.
SIGIR
Katsuhiko Hayashi
2022 J jnl
Subsampling for Knowledge Graph Embedding Explained.
CoRR
Hidetaka Kamigaito, Katsuhiko Hayashi
2021 — conf
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes.
ArgMining@EMNLP
Takahiro Kondo, Koki Washio, Katsuhiko Hayashi, Yusuke Miyao
2021 A conf
Knowledge Graph Completion-based Question Selection for Acquiring Domain Knowledge through Dialogues.
IUI
Kazunori Komatani, Yuma Fujioka, Keisuke Nakashima, Katsuhiko Hayashi, Mikio Nakano
2021 — conf
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding.
ACL/IJCNLP (1)
Hidetaka Kamigaito, Katsuhiko Hayashi
2021 J jnl
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding.
CoRR
Hidetaka Kamigaito, Katsuhiko Hayashi
2020 — conf
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings.
EMNLP (Findings)
Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo
2020 — conf
A System for Worldwide COVID-19 Information Aggregation.
NLP4COVID@EMNLP
Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong
2020 J jnl
A System for Worldwide COVID-19 Information Aggregation.
CoRR
Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong
2020 B conf
Analyzing Word Embedding Through Structural Equation Modeling.
LREC
Namgi Han, Katsuhiko Hayashi, Yusuke Miyao
2019 — conf
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs.
EMNLP/IJCNLP (1)
Katsuhiko Hayashi, Masashi Shimbo
2019 J jnl
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs.
CoRR
Katsuhiko Hayashi, Masashi Shimbo
2019 J jnl
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion.
CoRR
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo
2019 — conf
Binarized Knowledge Graph Embeddings.
ECIR (1)
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani
2019 J jnl
Binarized Knowledge Graph Embeddings.
CoRR
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani
2018 A* conf
Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion.
AAAI
Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo
2018 J jnl
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion.
CoRR
Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo
2018 — conf
Higher-Order Syntactic Attention Network for Longer Sentence Compression.
NAACL-HLT
Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata
2018 — conf
Neural Tensor Networks with Diagonal Slice Matrices.
NAACL-HLT
Takahiro Ishihara, Katsuhiko Hayashi, Hitoshi Manabe, Masashi Shimbo, Masaaki Nagata
2018 C conf
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices.
PACLIC
Tomoki Matsuno, Katsuhiko Hayashi, Takahiro Ishihara, Hitoshi Manabe, Yuji Matsumoto
2018 J jnl
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices.
CoRR
Tomoki Matsuno, Katsuhiko Hayashi, Takahiro Ishihara, Hitoshi Manabe, Yuji Matsumoto
2017 — conf
Hierarchical Word Structure-based Parsing: A Feasibility Study on UD-style Dependency Parsing in Japanese.
IWPT
Takaaki Tanaka, Katsuhiko Hayashi, Masaaki Nagata
2017 — conf
K-best Iterative Viterbi Parsing.
EACL (2)
Katsuhiko Hayashi, Masaaki Nagata
2017 — conf
On the Equivalence of Holographic and Complex Embeddings for Link Prediction.
ACL (2)
Katsuhiko Hayashi, Masashi Shimbo
2017 J jnl
On the Equivalence of Holographic and Complex Embeddings for Link Prediction.
CoRR
Katsuhiko Hayashi, Masashi Shimbo
2017 — conf
Supervised Attention for Sequence-to-Sequence Constituency Parsing.
IJCNLP(2)
Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura, Masaaki Nagata
2016 — conf
Empirical comparison of dependency conversions for RST discourse trees.
SIGDIAL Conference
Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata
2016 — conf
Empty element recovery by spinal parser operations.
ACL (2)
Katsuhiko Hayashi, Masaaki Nagata
2016 J jnl
Shift-reduce Spinal TAG Parsing with Dynamic Programming.
Inf. Media Technol.
Katsuhiko Hayashi, Jun Suzuki, Masaaki Nagata
2015 — conf
Discriminative Preordering Meets Kendall's Tau Maximization.
ACL (2)
Sho Hoshino, Yusuke Miyao, Katsuhito Sudoh, Katsuhiko Hayashi, Masaaki Nagata
2015 — conf
Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015.
CoNLL Shared Task
Yasuhisa Yoshida, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata
2014 — conf
NTT-NAIST syntax-based SMT systems for IWSLT 2014.
IWSLT (Evaluation Campaign)
Katsuhito Sudoh, Graham Neubig, Kevin Duh, Katsuhiko Hayashi
2013 J jnl
Efficient Stacked Dependency Parsing by Forest Reranking.
Trans. Assoc. Comput. Linguistics
Katsuhiko Hayashi, Shuhei Kondo, Yuji Matsumoto
2013 A* conf
Shift-Reduce Word Reordering for Machine Translation.
EMNLP
Katsuhiko Hayashi, Katsuhito Sudoh, Hajime Tsukada, Jun Suzuki, Masaaki Nagata
2012 — conf
Head-driven Transition-based Parsing with Top-down Prediction.
ACL (1)
Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara, Yuji Matsumoto
2012 — conf
Heteroskedastic Regression and Persistence in Random Walks at Tokyo Stock Exchange.
ISNN (2)
Katsuhiko Hayashi, Lukas Pichl, Taisei Kaizoji
2011 A* conf
Third-order Variational Reranking on Packed-Shared Dependency Forests.
EMNLP
Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara, Yuji Matsumoto
2010 B conf
Hierarchical Phrase-based Machine Translation with Word-based Reordering Model.
COLING
Katsuhiko Hayashi, Hajime Tsukada, Katsuhito Sudoh, Kevin Duh, Seiichi Yamamoto
2009 — conf
Structural support vector machines for log-linear approach in statistical machine translation.
IWSLT
Katsuhiko Hayashi, Taro Watanabe, Hajime Tsukada, Hideki Isozaki