Workshop
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Improving generalisability of 3D binding affinity models in low data regimes
Julia Milena Buhmann · Ward Haddadin · Alan Bilsland · Lukáš Pravda · Hagen Triendl
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Workshop
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Sat 14:30
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How to build fully open language models: from pre-training to post-training
Hannaneh Hajishirzi
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Workshop
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On Pre-training of Multimodal Language Models Customized for Chart Understanding
Wan-Cyuan Fan · Yen-Chun Chen · Mengchen Liu · Lu Yuan · Leonid Sigal
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Affinity Event
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Hyperspherical Projections for Continual Learning Using Pre-Trained Models
Anuhya Thota
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Workshop
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Sat 14:45
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Contributed talk: Evaluating Gender Bias Transfer between Pre-trained and Prompt Adapted Language Models
Natalie Mackraz
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Workshop
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Sun 16:35
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Learning temperature-aware representations from millions of annotated protein sequences
Mingchen Li · Liang Zhang · Zilan Wang · Bozitao Zhong · Pan Tan · Jiabei Cheng · Bingxin Zhou · Liang Hong · Huiqun Yu
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Workshop
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Learning temperature-aware representations from millions of annotated protein sequences
Mingchen Li · Liang Zhang · Zilan Wang · Bozitao Zhong · Pan Tan · Jiabei Cheng · Bingxin Zhou · Liang Hong · Huiqun Yu
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Workshop
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Fair Image Generation from Pre-trained Models by Probabilistic Modeling
Mahdi Ahmadi · John Leland · Agneet Chatterjee · YooJung Choi
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Poster
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Thu 16:30
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Pre-training Differentially Private Models with Limited Public Data
Zhiqi Bu · Xinwei Zhang · Sheng Zha · Mingyi Hong · George Karypis
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Workshop
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Generalized Prompt Tuning: How to Use a Frozen Pre-Trained Univariate Time Series Foundation Model for Multivariate Time Series Prediction
Mingzhu Liu · Angela Chen · George H Chen
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Poster
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Thu 16:30
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Pre-trained Large Language Models Use Fourier Features to Compute Addition
Tianyi Zhou · Deqing Fu · Vatsal Sharan · Robin Jia
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Poster
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Thu 11:00
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MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
Bo Chen · Zhilei Bei · Xingyi Cheng · Pan Li · Jie Tang · Le Song
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