6+ hour, 59+ min ago   (496+ words) Offline reinforcement learning (offline RL) and large-language-model (LLM) alignment are typically studied as independent domains and each has developed its own pairwise comparison technique. Prior studies have validated pairwise classification exclusively within offline RL, leaving open the question of whether it…...

1+ day, 23+ hour ago   (591+ words) Framework and runtime selection for containerized microservices are usually guided by request-level benchmarks, yet deployment-facing costs often dominate operational expenditure in Kubernetes environments. This study empirically evaluates four such infrastructure characteristics: container image size, startup time, idle resource consumption, and…...

3+ day, 19+ hour ago   (533+ words) This study proposes EQAS (Empowered Question-Answering System), a hybrid framework designed to support context-aware question-answering and intelligent feedback generation in domain-specific knowledge environments. EQAS integrates fine-tuned transformer-based models, instruction-guided large language models, domain-specific knowledge graphs, and LangChain-based vector retrieval to…...

3+ day, 20+ hour ago   (359+ words) Productivity evaluation in industrial software projects is still predominantly based on aggregate Function Point-to-effort ratios. Such an approach overlooks the internal structural and functional heterogeneity of software projects, potentially leading to misleading comparisons between systems characterized by similar functional sizes…...

4+ day, 21+ hour ago   (412+ words) Account-based state sharding improves blockchain parallelism by distributing account states and transaction execution across physical shards, but effective placement must preserve transaction locality without concentrating processing demand on a small number of shards. This paper presents LB-Louvain, a coarse-to-fine account-partitioning…...

5+ day, 21+ hour ago   (501+ words) Large language models (LLMs) can turn a flood of cross-layer industrial logs into a fluent incident narrative, but a narrative that cites only real, resolvable events can still be wrong in every relation that matters: the login came from a…...

6+ day, 22+ hour ago   (625+ words) Web applications increasingly handle sensitive data in diverse use cases, but conventional encryption implementations apply a uniform level of cryptographic protection to all traffic, regardless of the associated risk. This static approach results in either excessive computational overhead when applying…...

6+ day, 23+ hour ago   (587+ words) Large language models and AI agents are extending data-engineering automation beyond isolated artifact generation toward end-to-end processes in which agents interpret requirements, select data, generate transformations, invoke tools, validate results, and communicate analytical outputs. This shift introduces risks that conventional…...

1+ week, 4+ day ago   (297+ words) Robot Operating System (ROS) applications are growing increasingly complex and distributed, incorporating multi-node architectures, real-time communication, and compute offloading to cloud or edge resources. Despite advances in containerization, large-scale robotics deployments often rely on ad hoc provisioning, updating, and scalability…...

1+ week, 4+ day ago   (471+ words) Code authorship attribution is an important research area for uncovering the source, affiliation, and purpose of software and malware. It encompasses a wide range of techniques for identifying code authorship based on the analysis of authors’ coding styles. These approaches…...