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123 Results
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Poster
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Wed 15:00 |
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation Haoran Chen · Xintong Han · Zuxuan Wu · Yu-Gang Jiang |
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Poster
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Wed 15:00 |
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations Haoran Yang · Xiangyu Zhao · Yicong Li · Hongxu Chen · Guandong Xu |
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Poster
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Wed 8:45 |
Type-to-Track: Retrieve Any Object via Prompt-based Tracking Pha Nguyen · Kha Gia Quach · Kris Kitani · Khoa Luu |
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Poster
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Tue 8:45 |
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer Namkyeong Lee · Heewoong Noh · Sungwon Kim · Dongmin Hyun · Gyoung S. Na · Chanyoung Park |
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Poster
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Wed 8:45 |
Prompt-augmented Temporal Point Process for Streaming Event Sequence Siqiao Xue · Yan Wang · Zhixuan Chu · Xiaoming Shi · Caigao JIANG · Hongyan Hao · Gangwei Jiang · Xiaoyun Feng · James Zhang · Jun Zhou |
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Poster
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Thu 8:45 |
The CLIP Model is Secretly an Image-to-Prompt Converter Yuxuan Ding · Chunna Tian · Haoxuan Ding · Lingqiao Liu |
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Workshop
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Sat 9:45 |
SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation Daniel Beckmann · Jacqueline Kockwelp · Joerg Gromoll · Friedemann Kiefer · Benjamin Risse |
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Poster
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Tue 8:45 |
Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner Zhengxiang Shi · Aldo Lipani |
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Poster
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Tue 15:15 |
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality Liyuan Wang · Jingyi Xie · Xingxing Zhang · Mingyi Huang · Hang Su · Jun Zhu |
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Workshop
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The Importance of Prompt Tuning for Automated Neuron Explanations Justin Lee · Tuomas Oikarinen · Arjun Chatha · Keng-Chi Chang · Yilan Chen · Lily Weng |
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Workshop
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Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game Sam Toyer · Olivia Watkins · Ethan Mendes · Justin Svegliato · Luke Bailey · Tiffany Wang · Isaac Ong · Karim Elmaaroufi · Pieter Abbeel · Trevor Darrell · Alan Ritter · Stuart J Russell |
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Workshop
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Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models Thomas Zollo · Todd Morrill · Zhun Deng · Jake Snell · Toniann Pitassi · Richard Zemel |