Summary of Federated Prediction-powered Inference From Decentralized Data, by Ping Luo et al.
Federated Prediction-Powered Inference from Decentralized Databy Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng…
Federated Prediction-Powered Inference from Decentralized Databy Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng…
Efficient LLM Context Distillationby Rajesh Upadhayayaya, Zachary Smith, Chritopher Kottmyer, Manish Raj OstiFirst submitted to…
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruningby Soumajyoti Sarkar, Leonard…
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learningby Hongyuan Su, Yu Zheng, Jingtao Ding,…
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsificationby Junhui He, Shangyu Wu, Weidong…
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learningby Vyacheslav Kungurtsev, Yuanfang…
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inferenceby Barys Liskavets, Maxim…
Beyond Parameter Count: Implicit Bias in Soft Mixture of Expertsby Youngseog Chung, Dhruv Malik, Jeff…
Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deploymentby Aditya Bansal, Michael Yuhas, Arvind EaswaranFirst submitted to…
TinyAgent: Function Calling at the Edgeby Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim,…