Sentiment Bias and Security Analysis in Training Datasets of Large Language Models. - Keito Inoshita; Xiaokang Zhou (BDCloud, 2024)

Multifaceted Exploration of Perceptions on the Ukraine-Russia War in the Japanese Twitter Space. - Keito Inoshita (IoTaIS, 2024)

Evolutionary Expert Model Merging with Task-Adaptive Iterative Self-Improvement Process for Large Language Modeling on Aspect-Based Sentiment Analysis. - Keito Inoshita (IoTaIS, 2024)

Multi-Domain and Multi-View Oriented Deep Neural Network for Sentiment Analysis in Large Language Models. - Keito Inoshita; Xiaokang Zhou; Shohei Shimizu (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Multi-scale Convolutional Fusion with Contrastive Feature Alignment for Imbalanced Data Classification. - Keito Inoshita; Takato Ueno; Xiaokang Zhou (NLDB (1), 2025)

Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model. - Keito Inoshita; Kota Nojiri; Haruto Sugeno; Takumi Taga (CoRR, 2025)

A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing. - Takato Ueno; Keito Inoshita (CoRR, 2025)

Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias. - Rushia Harada; Yuken Kimura; Keito Inoshita (CoRR, 2025)

Persona-Based Synthetic Data Generation Using Multi-Stage Conditioning with Large Language Models for Emotion Recognition. - Keito Inoshita; Rushia Harada (CoRR, 2025)