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Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2024; 33rd International C Michael Wand,Kristína Malinovská,Igor V. Tetko Conferenc

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發(fā)表于 2025-3-23 12:01:17 | 只看該作者
Combining Contrastive Learning and?Sequence Learning for?Automated Essay Scoring of subjective factors on grading. Previous works tend to treat it solely as a regression or classification task, without considering the integration of both. Additionally, neural networks trained on limited samples often exhibit poor performance in capturing the deep semantics of texts. To enhance
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發(fā)表于 2025-3-23 16:29:32 | 只看該作者
PIDM: Personality-Aware Interaction Diffusion Model for?Gesture Generationcity and magnitude of motion during conversation are also affected by the personality traits of each participant. In this paper, we propose the personality-aware interaction diffusion model (PIDM) for a dyadic conversation. PIDM generates interaction behaviors based on the masking features of all pa
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發(fā)表于 2025-3-23 21:03:02 | 只看該作者
Prompt Design Using Past Dialogue Summarization for?LLMs to?Generate the?Current Appropriate Dialoguowever, following fluently current dialogue from the past dialogue is crucial, especially for chat-oriented dialogue systems, which are difficult for only LLMs to handle. In this paper, we propose a prompt design using a method summarizing dialogue for LLMs to generate the current appropriate dialog
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發(fā)表于 2025-3-23 22:52:56 | 只看該作者
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