Jul 2026· International Symposium on Communication Systems, Networks and Digital Signal Processing· pp. 1-5· 0 citations· 11 references
Computer Science
Abstract
Engineering systems are increasingly characterized by large, heterogeneous collections of technical documentation, including specifications, interface descriptions, and contribution records. While artificial intelligence techniques have been applied to document analysis, many existing approaches rely on opaque models that limit transparency and human trust. This paper presents a structured AI-based approach for deriving systemlevel understanding from engineering documentation by combining semantic abstraction, modular reasoning, confidence-aware outputs, and analyst validation. The approach emphasizes transparency and evidence-linked reasoning, enabling users to inspect intermediate representations and validate inferred relationships. A case study using a large-scale wireless systems documentation corpus and a focused Wi-Fi Aware worked example demonstrates how source-anchored reasoning can scale across extensive document sets while preserving human oversight.
The integration of Large Language Models (LLMs) into software development workflows has fundamentally transformed how developers interact with knowledge repositories, codebases, and documentation. However, traditional knowledge retrieval mechanisms face significant challenges when applied to the dynamic, multi-modal, a...
Norbert Fijałek, Ilona Bluemke, Piotr Gawrysiak· WiPiEC Journal - Works in Pr...· 0 citations
The second KDD Day on AI Reasoning brings together researchers and practitioners from academia and industry to examine how large language models and foundation models can be made more capable, reliable, interpretable, and efficient.
Jun Huan, James Caverlee, Lei Li et al.· Proceedings of the 32nd ACM...· 0 citations
A literature-based architectural framework for reliable knowledge retrieval systems that separates external knowledge management from LLM-based reasoning and generation is developed and indicates that reliable LLM deployment should be treated as an end-to-end architectural problem rather than solely a model-performance...
Bharat Kumar Reddy Karumuri· International Journal of Eng...· 0 citations
It is argued that three integration conditions determine whether enterprise deployments match the productivity outcomes controlled experiments document: context fidelity, the degree to which the assistant's knowledge reflects the actual enterprise codebase, workflow embeddedness, the breadth of development lifecycle to...
Rajendar Reddy Sama· East African Journal of Info...· 0 citations
This work conducts a controlled human study of six reasoning formats across tasks of varying complexity, supported by a web-based framework that randomizes task domains, problem instances, and representation order.
Jaewoo Lim, Sungbok Shin, San Hong· 0 citations
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