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Time-Continuous Modeling for Temporal Affective Pattern Recognition in LLMs

Fuente: arXiv

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Bibliographische Detailangaben
Hauptverfasser:	Kam, Rezky, Siswanto, Coddy N.
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Machine Learning Artificial Intelligence Emerging Technologies Human-Computer Interaction Systems and Control
Online-Zugang:	Acceder al recurso
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author	Kam, Rezky Siswanto, Coddy N.
author_facet	Kam, Rezky Siswanto, Coddy N.
contents	This paper introduces a dataset and conceptual framework for LLMs to mimic real world emotional dynamics through time and in-context learning leveraging physics-informed neural network, opening a possibility for interpretable dialogue modeling.
format	Preprint
id	arxiv_https___arxiv_org_abs_2601_12341
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	Time-Continuous Modeling for Temporal Affective Pattern Recognition in LLMs Kam, Rezky Siswanto, Coddy N. Machine Learning Artificial Intelligence Emerging Technologies Human-Computer Interaction Systems and Control This paper introduces a dataset and conceptual framework for LLMs to mimic real world emotional dynamics through time and in-context learning leveraging physics-informed neural network, opening a possibility for interpretable dialogue modeling.
title	Time-Continuous Modeling for Temporal Affective Pattern Recognition in LLMs
topic	Machine Learning Artificial Intelligence Emerging Technologies Human-Computer Interaction Systems and Control
url	https://arxiv.org/abs/2601.12341