Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...
An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil ...
Search engines are evaluating how information is connected across an entire website, not just within individual pages”— ...
The encryption protecting global banking, government communications, and digital identity does not fail when a quantum ...
A recently approved measure would bar supermarkets from using algorithms to adjust the prices paid by individual shoppers.
As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
Abstract: Data stream clustering is a critical operation in various real-world applications, ranging from the Internet of Things (IoT) to social media and financial systems. Existing data stream ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results