9 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 2 cited
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
Costas Mavromatis, Petros Karypis, George Karypis
Fusing knowledge from multiple Large Language Models (LLMs) can combine their diverse strengths to achieve improved performance on a given task. However, current fusion approaches…
cs.CL2024
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models
Costas Mavromatis, Petros Karypis, George Karypis
Knowledge Graph (KG) powered question answering (QA) performs complex reasoning over language semantics as well as knowledge facts. Graph Neural Networks (GNNs) learn to aggregate…
cs.CV2023★ 9 cited
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models
An Yan, Yu Wang, Yiwu Zhong +8
Medical image classification is a critical problem for healthcare, with the potential to alleviate the workload of doctors and facilitate diagnoses of patients. However, two challe…