Yusuke Iwasawa
38 papers · 2017–2026 · 15 conferences · across top CS/AI conferences
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large language model
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language model
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instruction following
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sensitive data leakage
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continual pre-training
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test-time adaptation
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diffusion model
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text generation
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Papers
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
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
EACL 2026
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
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA
EMNLP 2025
When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
EMNLP 2025
Dynamic Injection of Entity Knowledge into Dense Retrievers
EMNLP 2025
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
ICLR 2025
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
AACL 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
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
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
EMNLP 2025
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
ICML 2025
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics
IJCAI 2025
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
IJCNLP 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge
NAACL 2025
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
ACL 2024
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate
NIPS 2024
On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons
NAACL 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
EMNLP 2024
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
ICLR 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
ICML 2023
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
EMNLP 2023
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
IJCAI 2022
Langevin Autoencoders for Learning Deep Latent Variable Models
NIPS 2022
Large Language Models are Zero-Shot Reasoners
NIPS 2022
Group Equivariant Conditional Neural Processes
ICLR 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning
L4DC 2021
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
NIPS 2021
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training
EACL 2021
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective
IJCAI 2020
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder
INTERSPEECH 2018
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training
IJCAI 2017