4 papers
Multi-Rate Mixture of Experts for Accelerating Liquid Neural Network Training
Shilong Zong, Almuatazbellah Boker, Hoda Eldardiry
Multivariate time-series data often exhibit complex temporal dependencies, irregular sampling, and heterogeneous dynamics across multiple time scales, making accurate sequence mode…
Accuracy, Memory Efficiency and Generalization: A Comparative Study on Liquid Neural Networks and Recurrent Neural Networks
Shilong Zong, Alex Bierly, Almuatazbellah Boker +1
This review aims to conduct a comparative analysis of liquid neural networks (LNNs) and traditional recurrent neural networks (RNNs) and their variants, such as long short-term mem…
How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts?
Xiliang Zhu, Shi Zong, David Rossouw
Deploying Large Language Models (LLMs) for question answering (QA) over lengthy contexts is a significant challenge. In industrial settings, this process is often hindered by high…
Categorical Syllogisms Revisited: A Review of the Logical Reasoning Abilities of LLMs for Analyzing Categorical Syllogism
Shi Zong, Jimmy Lin
There have been a huge number of benchmarks proposed to evaluate how large language models (LLMs) behave for logic inference tasks. However, it remains an open question how to prop…