Katsuhiko Hayashi
29 papers · 2010–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(15)
Deep Learning
(11)
Natural Language Processing
(11)
Artificial Intelligence
(9)
Core AI
(9)
Optimization & Theory
(8)
Knowledge & Reasoning
(7)
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Keywords
link prediction
(7)
knowledge graph embedding
(5)
vision-language model
(4)
knowledge graph completion
(3)
negative sampling
(3)
large language model
(3)
syntactic parsing
(2)
information retrieval
(2)
attention mechanism
(1)
text generation
(1)
logical reasoning
(1)
image generation
(1)
neural machine translation
(1)
dependency parsing
(1)
relation extraction
(1)
matrix factorization
(1)
multi-label classification
(1)
text summarization
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confidence calibration
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multilingual nlp
(1)
Papers
Beyond Sampling: Self-Sorting for Long-Context Ranking
EACL 2026
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding
ACL 2025
IRR: Image Review Ranking Framework for Evaluating Vision-Language Models
COLING 2025
Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models
NAACL 2025
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
ACL 2025
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
NAACL 2024
Multi-label Learning with Random Circular Vectors
ACL 2024
Towards Artwork Explanation in Large-scale Vision Language Models
ACL 2024
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
ACL 2024
Model-based Subsampling for Knowledge Graph Completion
IJCNLP 2023
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models
ACL 2023
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
ICML 2022
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes
EMNLP 2021
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
ACL 2021
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings
EMNLP 2020
A System for Worldwide COVID-19 Information Aggregation
EMNLP 2020
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
EMNLP 2019
Higher-Order Syntactic Attention Network for Longer Sentence Compression
NAACL 2018
Neural Tensor Networks with Diagonal Slice Matrices
NAACL 2018
K-best Iterative Viterbi Parsing
EACL 2017
On the Equivalence of Holographic and Complex Embeddings for Link Prediction
ACL 2017
Supervised Attention for Sequence-to-Sequence Constituency Parsing
IJCNLP 2017
Empty element recovery by spinal parser operations
ACL 2016
Discriminative Preordering Meets Kendallβs π Maximization
ACL 2015
Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015
CoNLL 2015
Shift-Reduce Word Reordering for Machine Translation
EMNLP 2013
Head-driven Transition-based Parsing with Top-down Prediction
ACL 2012
Third-order Variational Reranking on Packed-Shared Dependency Forests
EMNLP 2011
Hierarchical Phrase-based Machine Translation with Word-based Reordering Model
COLING 2010