We stand with Ukraine

We stand with Ukraine

Keito Inoshita

Orcid: 0009-0006-6854-7231

According to our database¹, Keito Inoshita authored at least 20 papers between 2024 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human-LLM Judgment Gaps.

[DOI]

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Katsutoshi Yada

CoRR, April, 2026

Cognitive-Causal Multi-Task Learning with Psychological State Conditioning for Assistive Driving Perception.

[DOI]

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Nobuhiro Hayashida

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CoRR, April, 2026

Does AI Homogenize Student Thinking? A Multi-Dimensional Analysis of Structural Convergence in AI-Augmented Essays.

[DOI]

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Tsukasa Yamanaka

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CoRR, March, 2026

Multi-Agent Large Language Model Based Emotional Detoxification Through Personalized Intensity Control for Consumer Protection.

[DOI]

CoRR, February, 2026

Argument Rarity-based Originality Assessment for AI-Assisted Writing.

[DOI]

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Tsukasa Yamanaka

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CoRR, February, 2026

Who Does This Name Remind You of ? Nationality Prediction via Large Language Model Associative Memory.

[DOI]

CoRR, January, 2026

Nationality and Region Prediction from Names: A Comparative Study of Neural Models and Large Language Models.

[DOI]

CoRR, January, 2026

Multi-Stage Evolutionary Model Merging with Meta Data Driven Curriculum Learning for Sentiment-Specialized Large Language Modeling.

[DOI]

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CoRR, January, 2026

2025

World model inspired sarcasm reasoning with large language model agents.

[DOI]

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Shinnosuke Mizuno

CoRR, December, 2025

CIEGAD: Cluster-Conditioned Interpolative and Extrapolative Framework for Geometry-Aware and Domain-Aligned Data Augmentation.

[DOI]

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Katsutoshi Yada

CoRR, December, 2025

C-DIRA: Computationally Efficient Dynamic ROI Routing and Domain-Invariant Adversarial Learning for Lightweight Driver Behavior Recognition.

[DOI]

CoRR, December, 2025

Persona-Based Synthetic Data Generation Using Multi-Stage Conditioning with Large Language Models for Emotion Recognition.

[DOI]

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CoRR, July, 2025

Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias.

[DOI]

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CoRR, July, 2025

A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing.

[DOI]

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CoRR, June, 2025

Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model.

[DOI]

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CoRR, March, 2025

Multi-scale Convolutional Fusion with Contrastive Feature Alignment for Imbalanced Data Classification.

[DOI]

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Proceedings of the Natural Language Processing and Information Systems, 2025

2024

Multi-Domain and Multi-View Oriented Deep Neural Network for Sentiment Analysis in Large Language Models.

[DOI]

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Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Evolutionary Expert Model Merging with Task-Adaptive Iterative Self-Improvement Process for Large Language Modeling on Aspect-Based Sentiment Analysis.

[DOI]

Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2024

Multifaceted Exploration of Perceptions on the Ukraine-Russia War in the Japanese Twitter Space.

[DOI]

Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2024

Sentiment Bias and Security Analysis in Training Datasets of Large Language Models.

[DOI]

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Proceedings of the IEEE International Conference on Big Data and Cloud Computing, 2024

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