CPT: Colorful Prompt Tuning for pre-trained vision-language models by Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

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Enhancing MusicGen with Prompt Tuning by Hohyeon Shin, Jeonghyeon Im, Yunsick Sung

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Cue prompt adapting model for relation extraction by Kai Wang, Yanping Chen, Kunjian Wen, Chao Wei, Bo Dong, Qinghua Zheng, Yongbin Qin

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GPT understands, too by Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang

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Enhancing Visual-Language Prompt Tuning Through Sparse Knowledge-Guided Context Optimization by Qiangxing Tian, Min Zhang

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Medical short text classification via Soft Prompt-tuning by Xiao Xiao, Han Wang, Feng Jiang, Tingyue Qi, Wei Wang

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Ontology-based prompt tuning for news article summarization by A. R. S. Silva, Y. H. P. P. Priyadarshana

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MPVT: An Efficient Multi-Modal Prompt Vision Tracker for Visual Target Tracking by Jianyu Xie, Yan Fu, Junlin Zhou, Tianxiang He, Xiaopeng Wang, Yuke Fang, Duanbing Chen

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Alleviating the medical strain: a triage method via cross-domain text classification by Xiao Xiao, Shuqin Wang, Feng Jiang, Tingyue Qi, Wei Wang

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Research advances and challenges on graph foundation model: perspective from graph neural network by WU Tao, NIE Fazhi, XIAN Xingping, WANG Chao, YUAN Lin, QIAO Shaojie, NIU Weina

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Research on named entity recognition method in cybersecurity based on soft prompt tuning and reinforcement learning by TIAN Zeshu, LIU Chunyu, ZHANG Yunting, ZHANG Jiayu, MENG Chao, ZHANG Hongli

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MTPrompt-PTM: A Multi-Task Method for Post-Translational Modification Prediction Using Prompt Tuning on a Structure-Aware Protein Language Model by Ye Han, Fei He, Qing Shao, Duolin Wang, Dong Xu

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Enhancing Small Language Models for Graph Tasks Through Graph Encoder Integration by Dongryul Oh, Sujin Kang, Heejin Kim, Dongsuk Oh

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