Summary of Unsupervised Discovery Of Formulas For Mathematical Constants, by Michael Shalyt et al.
Unsupervised Discovery of Formulas for Mathematical Constantsby Michael Shalyt, Uri Seligmann, Itay Beit Halachmi, Ofir…
Summary of Ethics and Technical Aspects Of Generative Ai Models in Digital Content Creation, by Atahan Karagoz
Ethics and Technical Aspects of Generative AI Models in Digital Content Creationby Atahan KaragozFirst submitted…
Summary of Improving Quantization-aware Training Of Low-precision Network Via Block Replacement on Full-precision Counterpart, by Chengting Yu et al.
Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpartby Chengting Yu, Shu…
Summary of Time Will Tell: Timing Side Channels Via Output Token Count in Large Language Models, by Tianchen Zhang et al.
Time Will Tell: Timing Side Channels via Output Token Count in Large Language Modelsby Tianchen…
Summary of Mixllm: Llm Quantization with Global Mixed-precision Between Output-features and Highly-efficient System Design, by Zhen Zheng et al.
MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Designby Zhen Zheng, Xiaonan…
Summary of Trainable Adaptive Activation Function Structure (taafs) Enhances Neural Network Force Field Performance with Only Dozens Of Additional Parameters, by Enji Li
Trainable Adaptive Activation Function Structure (TAAFS) Enhances Neural Network Force Field Performance with Only Dozens…
Summary of Disentangled Graph Autoencoder For Treatment Effect Estimation, by Di Fan et al.
Disentangled Graph Autoencoder for Treatment Effect Estimationby Di Fan, Renlei Jiang, Yunhao Wen, Chuanhou GaoFirst…
Summary of A Unifying Information-theoretic Perspective on Evaluating Generative Models, by Alexis Fox et al.
A Unifying Information-theoretic Perspective on Evaluating Generative Modelsby Alexis Fox, Samarth Swarup, Abhijin AdigaFirst submitted…
Summary of Resq: Mixed-precision Quantization Of Large Language Models with Low-rank Residuals, by Utkarsh Saxena et al.
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residualsby Utkarsh Saxena, Sayeh Sharify, Kaushik…
Summary of Threshold Neuron: a Brain-inspired Artificial Neuron For Efficient On-device Inference, by Zihao Zheng et al.
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inferenceby Zihao Zheng, Yuanchun Li, Jiayu…