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- GalleryGPT: Analyzing Paintings with Large Multimodal Models55
A superior large multimodal model for painting analysis composing, dubbed GalleryGPT, is introduced, slightly modified and fine-tuned based on LLaVA architecture leveraging the authors' collected data, demonstrating its superb ability of art analysis and generalization.
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- Are Current Task-Oriented Dialogue Systems Able to Satisfy Impolite Users?7
A novel corpus of impolite dialogues is developed and a data augmentation approach designed to improve the systems’ ability to manage impolite dialogues is introduced to improve the systems’ ability to manage impolite dialogues.
- Contrastive Disentanglement for Authorship Attribution3
This paper introduces ContrastDistAA, a novel framework that leverages contrastive learning and mutual information maximization to disentangle content and stylistic features in latent representations for AA, and surpasses existing state-of-the-art models in both individual and regional-level AA tasks.
- CTP: A hybrid CNN-Transformer-PINN model for ocean front forecasting1
Experimental results across south China sea and Kuroshio regions from 1993 to 2020 demonstrate that CTP achieves state-of-the-art performance in both single-step and multi-step predictions, significantly outperforming baseline models in accuracy, $F_1$ score, and temporal stability.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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