Summary of Learning to Compress Prompt in Natural Language Formats, by Yu-neng Chuang et al.
Learning to Compress Prompt in Natural Language Formatsby Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui…
Summary of Learning Associative Memories with Gradient Descent, by Vivien Cabannes et al.
Learning Associative Memories with Gradient Descentby Vivien Cabannes, Berfin Simsek, Alberto BiettiFirst submitted to arxiv…
Summary of Unveiling Privacy, Memorization, and Input Curvature Links, by Deepak Ravikumar et al.
Unveiling Privacy, Memorization, and Input Curvature Linksby Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik RoyFirst…
Summary of Gaia: Categorical Foundations Of Generative Ai, by Sridhar Mahadevan
GAIA: Categorical Foundations of Generative AIby Sridhar MahadevanFirst submitted to arxiv on: 28 Feb 2024CategoriesMain:…
Summary of Priority Sampling Of Large Language Models For Compilers, by Dejan Grubisic et al.
Priority Sampling of Large Language Models for Compilersby Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh…
Summary of Multi-sensor and Multi-temporal High-throughput Phenotyping For Monitoring and Early Detection Of Water-limiting Stress in Soybean, by Sarah E. Jones et al.
Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybeanby…
Summary of Pre-training Differentially Private Models with Limited Public Data, by Zhiqi Bu et al.
Pre-training Differentially Private Models with Limited Public Databy Zhiqi Bu, Xinwei Zhang, Mingyi Hong, Sheng…
Summary of Disentangling the Causes Of Plasticity Loss in Neural Networks, by Clare Lyle et al.
Disentangling the Causes of Plasticity Loss in Neural Networksby Clare Lyle, Zeyu Zheng, Khimya Khetarpal,…
Summary of Enhancing the “immunity” Of Mixture-of-experts Networks For Adversarial Defense, by Qiao Han et al.
Enhancing the “Immunity” of Mixture-of-Experts Networks for Adversarial Defenseby Qiao Han, yong huang, xinling Guo,…
Summary of Mpat: Building Robust Deep Neural Networks Against Textual Adversarial Attacks, by Fangyuan Zhang et al.
MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacksby Fangyuan Zhang, Huichi Zhou, Shuangjiao…