← Authors

Yutaka Matsuo

87 papers · 2004–2026 · 18 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) πŸƒ Academic Marathon (22) 🌍 Conference Polyglot (18) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) πŸ”¬ Deep Specialist (12) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion πŸ‘₯ Mega-Team (32) 🀝 Dynamic Duo (32) πŸ‘‘ Triple Crown ❓ The Questioner ⚑ Prolific Year (10) πŸ”₯ Unstoppable (10) πŸ’Ž Century Club (82) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (301)

Conferences

EMNLP (17) ACL (10) 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

Yusuke Iwasawa (36) Edison Marrese-Taylor (28) Takeshi Kojima (18) Hiroki Furuta (10) Mitsuru Ishizuka (8) Machel Reid (7) Andrew Gambardella (7) Qi Cao (6) Shohei Taniguchi (6) Shixiang Shane Gu (5)

Research topics

Reinforcement Learning (1) Linguistics (1) Privacy (1) Education (1)

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

Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers EACL 2026
One-shot Portrait Stylizaiton via Geometric Alignment WACV 2026
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths EACL 2026
Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning EACL 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
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge NAACL 2025
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 AACL 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
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
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
GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields ICCV 2025
CityNav: A Large-Scale Dataset for Real-World Aerial Navigation ICCV 2025
Image Referenced Sketch Colorization Based on Animation Creation Workflow CVPR 2025
Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe COLING 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
Media Bias Detection Across Families of Language Models 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
On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons NAACL 2024
Target-Aware Contextual Political Bias Detection in News IJCNLP 2023
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text EMNLP 2023
Towards Better Evaluation for Formality-Controlled English-Japanese Machine Translation EMNLP 2023
DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views NIPS 2023
An Effective Approach for Informational and Lexical Bias Detection EACL 2023
Target-Aware Contextual Political Bias Detection in News AACL 2023
Evaluating Large Language Models’ Understanding of Financial Terminology via Definition Modeling AACL 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
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023
Evaluating Large Language Models’ Understanding of Financial Terminology via Definition Modeling IJCNLP 2023
Langevin Autoencoders for Learning Deep Latent Variable Models NIPS 2022
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing ACL 2022
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
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment IJCAI 2022
Generalized Decision Transformer for Offline Hindsight Information Matching ICLR 2022
Large Language Models are Zero-Shot Reasoners NIPS 2022
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages EMNLP 2021
Group Equivariant Conditional Neural Processes ICLR 2021
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 2021
Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining NAACL 2021
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers EMNLP 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning NIPS 2021
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training EACL 2021
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization NIPS 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021
Variational Inference for Learning Representations of Natural Language Edits AAAI 2021
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling EMNLP 2020
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective IJCAI 2020
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews ACL 2020
Gating Mechanisms for Combining Character and Word-level Word Representations: an Empirical Study NAACL 2019
An Edit-centric Approach for Wikipedia Article Quality Assessment EMNLP 2019
IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets SEMEVAL 2018
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder INTERSPEECH 2018
Learning to Automatically Generate Fill-In-The-Blank Quizzes ACL 2018
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations EMNLP 2018
Deep contextualized word representations for detecting sarcasm and irony EMNLP 2018
Extractive Summarization Using Multi-Task Learning with Document Classification EMNLP 2017
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes ACL 2017
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training IJCAI 2017
Replication issues in syntax-based aspect extraction for opinion mining EACL 2017
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 Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web EMNLP 2009
A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts IJCNLP 2008
An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web NAACL 2007
Subtree Mining for Relation Extraction from Wikipedia NAACL 2007
Graph-based Word Clustering using a Web Search Engine EMNLP 2006
Improving Chronological Sentence Ordering by Precedence Relation COLING 2004