2 papers
cs.AI2026
Optimizing Prompts for Large Language Models: A Causal Approach
Wei Chen, Yanbin Fang, Shuran Fu +2
Large Language Models (LLMs) are increasingly embedded in enterprise workflows, yet their performance remains highly sensitive to prompt design. Automatic Prompt Optimization (APO)…
cs.LG2023
Data Valuation and Detections in Federated Learning
Wenqian Li, Shuran Fu, Fengrui Zhang +1
Federated Learning (FL) enables collaborative model training while preserving the privacy of raw data. A challenge in this framework is the fair and efficient valuation of data, wh…