Hidetoshi Shimodaira
26 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π Conference Polyglot (9) π§ Keyword Pioneer π Cross-Pollinator (13)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(40)
π
Interdisciplinary Bridge
π¬
Deep Specialist
(12)
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Keyword Champion
(2)
π€
Dynamic Duo
(10)
β‘
Prolific Year
(6)
π
Century Club
(24)
ποΈ
Keyword Collector
(111)
Conferences
EMNLP (9)
ACL (5)
AISTATS (3)
COLING (2)
NIPS (2)
AAAI (1)
EACL (1)
ICML (1)
IJCAI (1)
NAACL (1)
Top co-authors
Research topics
Keywords
representation learning
(8)
word embedding
(6)
independent component analysis
(4)
graph embedding
(4)
contextualized embedding
(3)
neural network
(2)
relation pattern
(2)
semantic similarity
(2)
link prediction
(2)
embedding space
(2)
autoregressive language model
(2)
optimal transport
(2)
cosine similarity
(2)
unsegmented language
(2)
knowledge graph
(2)
kullback-leibler divergence
(2)
knowledge graph embedding
(2)
kl divergence
(1)
lexical semantics
(1)
robust optimization
(1)
Papers
Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering
AAAI 2026
Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs
ACL 2026
Norm of Mean Contextualized Embeddings Determines their Variance
COLING 2025
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport
ACL 2025
Mapping 1,000+ Language Models via the Log-Likelihood Vector
ACL 2025
Likelihood Variance as Text Importance for Resampling Texts to Map Language Models
EMNLP 2025
DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability
EMNLP 2025
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings
COLING 2025
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings
EMNLP 2024
Understanding Higher-Order Correlations Among Semantic Components in Embeddings
EMNLP 2024
Shimo Lab at βDischarge Me!β: Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections
ACL 2024
3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding
EACL 2024
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
EMNLP 2024
Zipfian Whitening
NIPS 2024
Norm of Word Embedding Encodes Information Gain
EMNLP 2023
Discovering Universal Geometry in Embeddings with ICA
EMNLP 2023
Improving word moverβs distance by leveraging self-attention matrix
EMNLP 2023
More Powerful Selective Kernel Tests for Feature Selection
AISTATS 2020
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate
NIPS 2020
Segmentation-free compositional n-gram embedding
NAACL 2019
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
AISTATS 2019
Robust Graph Embedding with Noisy Link Weights
AISTATS 2019
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities
IJCAI 2019
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks
ICML 2018
Word-like character n-gram embedding
EMNLP 2018
Cross-Lingual Word Representations via Spectral Graph Embeddings
ACL 2016