2 papers
cs.DB2026
DistillER: Knowledge Distillation in Entity Resolution with Large Language Models
Alexandros Zeakis, George Papadakis, Dimitrios Skoutas +1
Recent advances in Entity Resolution (ER) have leveraged Large Language Models (LLMs), achieving strong performance but at the cost of substantial computational resources or high f…
cs.LG2024
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
Georgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios Skoutas
Predicting future values in multivariate time series is vital across various domains. This work explores the use of large language models (LLMs) for this task. However, LLMs typica…