Author

Yuta Nakashima

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2026

A Japanese Dataset for Aspect-based Sentiment Polarity Classification and Emotion Intensity Estimation

A Japanese dataset for Aspect-based Sentiment Analysis (ABSA), annotated with both sentiment polarity and the emotional intensities for Plutchik’s eight emotions is constructed and it is demonstrated that multi-task learning, utilizing both word and sentence levels, can improve performance on difficult-to-estimate subj...

Kenta Hanafusa, Kota Manabe, Yuki Maeda et al. · International Conference on... · 0 citations

Jul 2026

MEDit-Bench: A Dataset for Evaluating Message-Driven Narrative Video Editing

An automatic evaluation protocol based on temporal alignment metrics is defined, and it is found that an LLM-as-a-judge preference, a natural proxy for narrative quality, is unreliable for this task due to severe position bias.

K. Ogata, Zongshang Pang, Mayu Otani et al. · arXiv.org · 1 citation

#artificial intelligence Review Jun 2026

ANCHOR: An External LLM-Driven Supervisory Module Facilitating Healthy Evolution in Self-Evolving Systems

This work introduces ANCHOR, an LLM-based supervisory framework that delivers evaluative feedback at multiple phases of self-evolution and aggregates reviewed signals into context for subsequent steps and shows that ANCHOR substantially improves safety performance while maintaining stable performance on the core capabi...

Dian-Xing Shi, Jun He, Junhao Chen et al. · 1 citation