Combining Thai EDUs: Principle and Implementation

Basic Principles for Segmenting Thai EDUs

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Large Language Models (LLMs) employ auto-regressive decoding that requires sequential computation, with each step reliant on the previous one's output. This creates a bottleneck as each step necessitates moving the full …

Jumping across biomedical contexts using compressive data fusion

Motivation: The rapid growth of diverse biological data allows us to consider interactions between a variety of objects, such as genes, chemicals, molecular signatures, diseases, pathways and environmental exposures. Oft…

EduSAT: A Pedagogical Tool for Theory and Applications of Boolean Satisfiability

Boolean Satisfiability (SAT) and Satisfiability Modulo Theories (SMT) are widely used in automated verification, but there is a lack of interactive tools designed for educational purposes in this field. To address this g…

Multiple Segmentations of Thai Sentences for Neural Machine Translation

Thai is a low-resource language, so it is often the case that data is not available in sufficient quantities to train an Neural Machine Translation (NMT) model which perform to a high level of quality. In addition, the T…