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20 Results
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Workshop
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Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun · Thomas Pouplin · Nicolás Astorga · Tennison Liu · Mihaela van der Schaar |
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Workshop
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Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun · Thomas Pouplin · Nicolás Astorga · Tennison Liu · Mihaela van der Schaar |
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Poster
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Fri 11:00 |
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration Wenjie Fu · Huandong Wang · Chen Gao · Guanghua Liu · Yong Li · Tao Jiang |
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Poster
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Wed 16:30 |
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates Kaifeng Lyu · Haoyu Zhao · Xinran Gu · Dingli Yu · Anirudh Goyal · Sanjeev Arora |
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Poster
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Fri 16:30 |
Historical Test-time Prompt Tuning for Vision Foundation Models Jingyi Zhang · Jiaxing Huang · Xiaoqin Zhang · Ling Shao · Shijian Lu |
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Poster
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Fri 11:00 |
Visual Fourier Prompt Tuning Runjia Zeng · Cheng Han · Qifan Wang · Chunshu Wu · Tong Geng · Lifu Huangg · Ying Nian Wu · Dongfang Liu |
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Poster
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Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation Abhinav Jain · Swarat Chaudhuri · Thomas Reps · Christopher Jermaine |
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Workshop
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Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting Tim Knappe · Ryan L Li · Ayush Chauhan · Kaylee Chhua · Kevin Zhu · Sean O'Brien |