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Keita Suzuki

3 accepted papers

2025

ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind

AAAI 2025technical

Existing Theory of Mind (ToM) benchmarks diverge from real-world scenarios in three aspects: 1) they assess a limited range of mental states such as beliefs, 2) false beliefs are not comprehensively explored, and 3) the diverse personality traits of characters are overlooked. To address these challe…

2024

Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime

ICLR 2024poster

Deep neural networks with feature learning have shown surprising generalization performance in high dimensional settings, but it has not been fully understood how and when they enjoy the benefit of feature learning. In this paper, we theoretically analyze the statistical properties of the benefits f…

Cited by 2SourcePDFScholar
2024

Talking Face Generation for Impression Conversion Considering Speech Semantics

ICASSP 2024accepted

This study investigates the talking face generation method to convert a speaker’s video to give a target impression, such as “favorable” or “considerate”. Such an impression conversion method needs to consider the input speech semantics because they affect the impression of a speaker’s video along w…

Cited by 0SourceScholar