Hitomi Yanaka
41 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(64)
π§¬
Topic Evolution
π¬
Deep Specialist
(10)
π
Keyword Champion
(4)
π
Trend Setter
π
Century Club
(36)
β
The Questioner
(6)
π₯
Unstoppable
(9)
ποΈ
Keyword Collector
(149)
β‘
Prolific Year
(6)
Conferences
ACL (22)
EACL (4)
EMNLP (4)
IJCNLP (4)
NAACL (3)
AACL (2)
COLING (1)
CONLL (1)
Top co-authors
Keywords
large language model
(9)
natural language inference
(8)
logical inference
(4)
numerical reasoning
(4)
semantic parsing
(4)
representation learning
(3)
social bia
(3)
japanese language
(3)
linear probing
(2)
continual learning
(2)
compositional generalization
(2)
data augmentation
(2)
layer-wise analysis
(2)
model checking
(2)
spatial reasoning
(2)
semantic representation
(2)
feature attribution
(2)
neural machine translation
(2)
vision-language navigation
(2)
theorem proving
(2)
Papers
Analysis of the Neglect-Zero Effect in Large Language Models
ACL 2026
NeuronMoE: Efficient Cross-Lingual Extension via Neuron-Guided Mixture-of-Experts
EACL 2026
Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models
ACL 2026
Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models
ACL 2026
Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models
IJCNLP 2025
Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models
IJCNLP 2025
Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset
EMNLP 2025
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
CONLL 2025
Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
ACL 2025
JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models
ACL 2025
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
ACL 2025
Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models
AACL 2025
Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models
AACL 2025
Analyzing the Inner Workings of Transformers in Compositional Generalization
NAACL 2025
Action Inference for Destination Prediction in Vision-and-Language Navigation
ACL 2024
Topic Modeling for Short Texts with Large Language Models
ACL 2024
Evaluating Structural Generalization in Neural Machine Translation
ACL 2024
Visual-Textual Entailment with Quantities Using Model Checking and Knowledge Injection
COLING 2024
Reforging : A Method for Constructing a Linguistically Valid Japanese CCG Treebank
EACL 2024
GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation
EACL 2024
Exploring Intra and Inter-language Consistency in Embeddings with ICA
EMNLP 2024
On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons
NAACL 2024
Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models
ACL 2023
Constructing Multilingual Code Search Dataset Using Neural Machine Translation
ACL 2023
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models
ACL 2023
Does Character-level Information Always Improve DRS-based Semantic Parsing?
ACL 2023
Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion
ACL 2023
Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts
ACL 2023
Compositional Semantics and Inference System for Temporal Order based on Japanese CCG
ACL 2022
Logical Inference for Counting on Semi-structured Tables
ACL 2022
Do Grammatical Error Correction Models Realize Grammatical Generalization?
IJCNLP 2021
Do Grammatical Error Correction Models Realize Grammatical Generalization?
ACL 2021
Exploring Transitivity in Neural NLI Models through Veridicality
EACL 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
IJCNLP 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
ACL 2021
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference
EMNLP 2021
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
ACL 2020
Can Neural Networks Understand Monotonicity Reasoning?
ACL 2019
Multimodal Logical Inference System for Visual-Textual Entailment
ACL 2019
Acquisition of Phrase Correspondences Using Natural Deduction Proofs
NAACL 2018
Determining Semantic Textual Similarity using Natural Deduction Proofs
EMNLP 2017