Abstract: Since its inception, UML, the Unified Modeling Language, has been touted as the way to go when it comes to designing and documenting software systems. While being an integral part of many ...

at com.baomidou.mybatisplus.extension.toolkit.SqlHelper.executeBatch(SqlHelper.java:202) at com.baomidou.mybatisplus.extension.toolkit.SqlHelper.executeBatch ...

Long-Term Support release, with features ranging from structured concurrency and compact object headers to ahead-of-time method profiling and JFR CPU-time profiling on Linux, is now generally ...

Please note the new email address for sending travel itineraries (both hotel and air travel) to the University travel registry Healix: UMass.TravelRegistration@healix.com. Completion of Assumption of ...

One of the major hurdles in AI-driven image modeling is the inability to account for the diversity in image content complexity effectively. The tokenization methods so far used are static compression ...

The AI research community continues to find new ways to improve large language models (LLMs), the latest being a new architecture introduced by scientists at Meta and the University of Washington.

Large Language Models (LLMs) have significantly advanced natural language processing, but tokenization-based architectures bring notable limitations. These models depend on fixed-vocabulary tokenizers ...

Abstract: UML is a modeling language that most developers employed during the design phase. UML provides various types of diagrams used for specifying both the structure and the behavior of systems.

Industry partnerships are in UMass Lowell’s DNA. The strands stretch back almost 130 years, when the Lowell Textile School was founded to train people to work in textile manufacturing. The university ...

This repository contains all code for reproducing experiments from the paper Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? Given a BPE tokenizer, our attack infers ...

Generative AI models don’t process text the same way humans do. Understanding their “token”-based internal environments may help explain some of their strange behaviors — and stubborn limitations.