2+ day, 17+ 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, 18+ 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…...

4+ day, 19+ 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…...

1+ week, 3+ 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…...

2+ week, 4+ day ago   (483+ words) With the rapid evolution of Large Language Models (LLMs) in natural language understanding and generation, Relation Extraction (RE) has achieved substantial milestones in low-resource and open-domain scenarios. However, prevailing LLM-based RE methodologies predominantly rely on one-shot prompting or static workflows,…...

2+ week, 5+ day ago   (436+ words) The configuration of AUTOSAR Basic Software (BSW) modules relies on verbose AUTOSAR XML (ARXML) files that are complex, error-prone, and costly to produce manually—particularly for safety-critical modules governed by ISO 26262. This paper presents a two-stage approach to automating BSW…...

2+ week, 6+ day ago   (419+ words) During software testing, memory errors in C/C++ can silently corrupt the program state. Address-based memory sanitizers, while offering practical performance and compatibility, are fundamentally unable to distinguish spatial errors that skip redzones or temporal errors that occur after memory…...

3+ week, 1+ day ago   (429+ words) Knowledge-Tracing (KT) models typically rely on ID-based representations, such as question IDs and skill IDs, which limit their generalizability to unseen questions (cold-question scenarios). In this study, we improve the generalization of cold-question scenarios by embedding a MathBERT-based semantic question…...

3+ week, 2+ day ago   (422+ words) Entity alignment (EA) algorithms have been developed to identify and use links between entities in knowledge graphs (KGs), which are essential for data integration and information sharing. Given their significance, it is important to thoroughly evaluate EA algorithms to measure…...