3 papers
cs.CL2026
Script Sensitivity: Benchmarking Language Models on Unicode, Romanized and Mixed-Script Sinhala
Minuri Rajapakse, Ruvan Weerasinghe
The performance of Language Models (LMs) on low-resource, morphologically rich languages like Sinhala remains largely unexplored, particularly regarding script variation in digital…
cs.CL2026
Can Small Language Models Handle Context-Summarized Multi-Turn Customer-Service QA? A Synthetic Data-Driven Comparative Evaluation
Lakshan Cooray, Deshan Sumanathilaka, Pattigadapa Venkatesh Raju
Customer-service question answering (QA) systems increasingly rely on conversational language understanding. While Large Language Models (LLMs) achieve strong performance, their hi…
cs.DC2026
NimbusGuard: A Novel Framework for Proactive Kubernetes Autoscaling Using Deep Q-Networks
Chamath Wanigasooriya, Indrajith Ekanayake
Cloud native architecture is about building and running scalable microservice applications to take full advantage of the cloud environments. Managed Kubernetes is the powerhouse or…