10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CL2025
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
Gunjan Jalori, Preetika Verma, Sercan Ö Arık
Time series Forecasting with large languagemodels (LLMs) requires bridging numericalpatterns and natural language. Effective fore-casting on LLM often relies on extensive pre-proce…
cs.CV2020★ 10 cited
Explaining Deep Neural Networks using Unsupervised Clustering
Yu-han Liu, Sercan O. Arik
We propose a novel method to explain trained deep neural networks (DNNs), by distilling them into surrogate models using unsupervised clustering. Our method can be applied flexibly…