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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Han-Di Zhu

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2 papers indexed here

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Conference Open access Aug 2026

DisenTextSeg: Disentangling Textual Information from Clinical Reports for Multi-Modal Medical Image Segmentation

DisenTextSeg is a novel framework that explicitly disentangles shared and modality-specific features from per-modality clinical reports and integrates them into a diffusion-based segmentation network, outperforming competitive baselines and demonstrating consistent cross-domain performance.

Ding-Jie Suo, Han-Di Zhu, Tian-Tian Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

CAMFT: Conflict-Aware Mergeable Fine-Tuning for Large Language Models

CAMFT is proposed, a Conflict-Aware Mergeable Fine-Tuning method that makes task adaptation both efficient and mergeaware and treats mergeability as a property shaped during fine-tuning, rather than only a problem to be solved after fine-tuning.

Jin-Gang Zhou, Hai-Yang Guo, Yuan-Pei Ma et al. · 1 citation

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