Yutaka Matsuo
89 papers · 2004–2026 · 18 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
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(13)
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Keyword Pioneer
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Keyword Trendsetter Combo
(4)
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Deep Specialist
(12)
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Grand Slam
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Topic Evolution
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Keyword Champion
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Mega-Team
(32)
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Dynamic Duo
(32)
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Triple Crown
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The Questioner
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Prolific Year
(10)
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Unstoppable
(10)
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Century Club
(82)
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Trend Setter
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Keyword Collector
(301)
Conferences
EMNLP (17)
ACL (12)
ICLR (9)
EACL (8)
NAACL (8)
NIPS (7)
IJCNLP (5)
AACL (4)
ICML (4)
IJCAI (4)
COLING (3)
ICCV (2)
WACV (1)
SEMEVAL (1)
L4DC (1)
INTERSPEECH (1)
CVPR (1)
AAAI (1)
Top co-authors
Research topics
Keywords
large language model
(14)
low-resource language
(6)
text classification
(6)
language model
(5)
machine translation
(5)
natural language processing
(4)
generative model
(4)
instruction following
(3)
neural network
(3)
text generation
(3)
data augmentation
(3)
model compression
(3)
variational inference
(3)
deep reinforcement learning
(3)
diffusion model
(3)
representation learning
(2)
deep learning
(2)
benchmark evaluation
(2)
test-time adaptation
(2)
amortized inference
(2)
Papers
ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making
ACL 2026
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
EACL 2026
Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts
EACL 2026
Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning
EACL 2026
One-shot Portrait Stylizaiton via Geometric Alignment
WACV 2026
Understanding Emergent Misalignment via Feature Superposition Geometry
ACL 2026
Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers
EACL 2026
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
EACL 2026
Language Models can Categorize System Inputs for Performance Analysis
NAACL 2025
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
IJCNLP 2025
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics
IJCAI 2025
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
ICML 2025
Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
ACL 2025
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning
ACL 2025
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
ICLR 2025
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
ICLR 2025
Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe
COLING 2025
Image Referenced Sketch Colorization Based on Animation Creation Workflow
CVPR 2025
CityNav: A Large-Scale Dataset for Real-World Aerial Navigation
ICCV 2025
GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields
ICCV 2025
An in-depth human study of the mathematical reasoning abilities in Large Language Models
EMNLP 2025
Dynamic Injection of Entity Knowledge into Dense Retrievers
EMNLP 2025
When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
EMNLP 2025
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA
EMNLP 2025
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
EMNLP 2025
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
AACL 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge
NAACL 2025
On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons
NAACL 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels
NIPS 2024
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate
NIPS 2024
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
ACL 2024
Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources
ACL 2024
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
ACL 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
EMNLP 2024
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
ICLR 2024
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
ICLR 2024
Media Bias Detection Across Families of Language Models
NAACL 2024
DreamSparse: Escaping from Platoβs Cave with 2D Diffusion Model Given Sparse Views
NIPS 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
ICML 2023
Interaction-Based Disentanglement of Entities for Object-Centric World Models
ICLR 2023
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
ICLR 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
ICML 2023
Target-Aware Contextual Political Bias Detection in News
AACL 2023
Evaluating Large Language Modelsβ Understanding of Financial Terminology via Definition Modeling
AACL 2023
Evaluating Large Language Modelsβ Understanding of Financial Terminology via Definition Modeling
IJCNLP 2023
An Effective Approach for Informational and Lexical Bias Detection
EACL 2023
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
EMNLP 2023
Target-Aware Contextual Political Bias Detection in News
IJCNLP 2023
Towards Better Evaluation for Formality-Controlled English-Japanese Machine Translation
EMNLP 2023
Improving Jejueo-Korean Translation With Cross-Lingual Pretraining Using Japanese and Korean
COLING 2022
A Parallel Corpus and Dictionary for Amis-Mandarin Translation
AACL 2022
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing
ACL 2022
Generalized Decision Transformer for Offline Hindsight Information Matching
ICLR 2022
Large Language Models are Zero-Shot Reasoners
NIPS 2022
Langevin Autoencoders for Learning Deep Latent Variable Models
NIPS 2022
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
IJCAI 2022
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
EMNLP 2021
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training
EACL 2021
Group Equivariant Conditional Neural Processes
ICLR 2021
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
ICLR 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
ICML 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning
L4DC 2021
Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining
NAACL 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
NIPS 2021
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
NIPS 2021
Variational Inference for Learning Representations of Natural Language Edits
AAAI 2021
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers
EMNLP 2021
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective
IJCAI 2020
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews
ACL 2020
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling
EMNLP 2020
An Edit-centric Approach for Wikipedia Article Quality Assessment
EMNLP 2019
Gating Mechanisms for Combining Character and Word-level Word Representations: an Empirical Study
NAACL 2019
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder
INTERSPEECH 2018
IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets
SEMEVAL 2018
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
EMNLP 2018
Learning to Automatically Generate Fill-In-The-Blank Quizzes
ACL 2018
Deep contextualized word representations for detecting sarcasm and irony
EMNLP 2018
Replication issues in syntax-based aspect extraction for opinion mining
EACL 2017
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes
ACL 2017
Extractive Summarization Using Multi-Task Learning with Document Classification
EMNLP 2017
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training
IJCAI 2017
A Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web
EMNLP 2009
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
ACL 2009
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
IJCNLP 2009
A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts
IJCNLP 2008
Subtree Mining for Relation Extraction from Wikipedia
NAACL 2007
An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web
NAACL 2007
Graph-based Word Clustering using a Web Search Engine
EMNLP 2006
Improving Chronological Sentence Ordering by Precedence Relation
COLING 2004