Singapore Management University

Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead

Code generation represents a critical intersection of Software Engineering (SE) and Artificial Intelligence (AI). Within this broader landscape, Verilog, as a representative hardware description language (HDL), is fundamental to Electronic Design Automation (EDA), recent research...

From open banking to banking-as-a-service: regulatory challenges in the evolution of financial intermediation

Over the past decade, financial innovation has moved from open banking, centred on consumer-permissioned data sharing, to banking-as-a-service (BaaS), which modularizes core banking functions through application programming interfaces. This shift allows fintechs and non-financial...

Toward federated large language models in medicine: a parameter-efficient framework for privacy-preserving, multi-institutional adaptation

Large language models (LLMs) are increasingly adapted for medical applications, but most are trained using data from a single institution because privacy and governance constraints prevent multi-institutional data sharing. As a result, these models often generalize poorly across...

A Normal Map-Based Proximal Stochastic Gradient Method: Convergence and Identification Properties

Abstract. The proximal stochastic gradient method ([Formula: see text]) is one of the state-of-the-art approaches for stochastic composite-type problems. In contrast to its deterministic counterpart, [Formula: see text] has been found to have difficulties with the correct identif...

AI failures in the eyes of the downstream developer: a first look at concerns, practices, and challenges

Abstract With the advancement of AI models, more software systems are adopting AI as a component to facilitate automation. Pre-trained models (PTMs) have become a cornerstone of AI-based software, allowing for rapid integration and development with lower training cost. However, t...