Cover Image

Towards LLM-generated explanations for Component-based Knowledge Graph Question Answering Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schiese, Dennis, Perevalov, Aleksandr, Both, Andreas
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Post-hoc LLM-Supported Debugging of Distributed Processes
by: Schiese, Dennis, et al.
Published: (2025)

Text-to-SPARQL Goes Beyond English: Multilingual Question Answering Over Knowledge Graphs through Human-Inspired Reasoning
by: Perevalov, Aleksandr, et al.
Published: (2025)

KGCompiler: Deep Learning Compilation Optimization for Knowledge Graph Complex Logical Query Answering
by: Lin, Hongyu, et al.
Published: (2025)

Agentic DAG-Orchestrated Planner Framework for Multi-Modal, Multi-Hop Question Answering in Hybrid Data Lakes
by: B, Kirushikesh D, et al.
Published: (2026)

Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
by: Alebachew, Yoseph Berhanu, et al.
Published: (2026)

Reliable Graph-RAG for Codebases: AST-Derived Graphs vs LLM-Extracted Knowledge Graphs
by: Chinthareddy, Manideep Reddy
Published: (2026)

A Comparison of Conversational Models and Humans in Answering Technical Questions: the Firefox Case
by: Correia, Joao, et al.
Published: (2025)

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production
by: Liang, Xiaoyun, et al.
Published: (2024)

Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering
by: Abedu, Samuel, et al.
Published: (2024)

Evaluating Repository-level Software Documentation via Question Answering and Feature-Driven Development
by: Wang, Xinchen, et al.
Published: (2026)

Robustness and Reasoning Fidelity of Large Language Models in Long-Context Code Question Answering
by: Maharaj, Kishan, et al.
Published: (2026)

CodeRepoQA: A Large-scale Benchmark for Software Engineering Question Answering
by: Hu, Ruida, et al.
Published: (2024)

From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
by: Wang, Yawen, et al.
Published: (2026)

Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics
by: Pathak, Aditya, et al.
Published: (2025)

LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps
by: Zhao, Shanhui, et al.
Published: (2025)

Canonical Intermediate Representation for LLM-based optimization problem formulation and code generation
by: Lyu, Zhongyuan, et al.
Published: (2026)

CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs
by: He, Yicheng, et al.
Published: (2026)

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
by: Gashkov, Aleksandr, et al.
Published: (2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
by: Gao, Weibo, et al.
Published: (2025)

Design choices made by LLM-based test generators prevent them from finding bugs
by: Mathews, Noble Saji, et al.
Published: (2024)

Building Trust in the Skies: A Knowledge-Grounded LLM-based Framework for Aviation Safety
by: Iyengar, Anirudh, et al.
Published: (2026)

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
by: Du, Xueying, et al.
Published: (2024)

LLM-aided explanations of EDA synthesis errors
by: Qiu, Siyu, et al.
Published: (2024)

Assessing LLM code generation quality through path planning tasks
by: Chen, Wanyi, et al.
Published: (2025)

Quality Assurance of LLM-generated Code: Addressing Non-Functional Quality Characteristics
by: Sun, Xin, et al.
Published: (2025)

LLM assisted web application functional requirements generation: A case study of four popular LLMs over a Mess Management System
by: Gupta, Rashmi, et al.
Published: (2025)

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
by: Yu, Jianbo, et al.
Published: (2026)

Projectional Decoding: Towards Semantic-Aware LLM Generation
by: Chen, Boqi, et al.
Published: (2026)

Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
by: Yuan, Zhiqiang, et al.
Published: (2025)

Extracting Knowledge Graphs from User Stories using LangChain
by: da Silva, Thayná Camargo
Published: (2025)

HELIOS: Hierarchical Graph Abstraction for Structure-Aware LLM Decompilation
by: Achamyeleh, Yonatan Gizachew, et al.
Published: (2026)

Learning to Debug: LLM-Organized Knowledge Trees for Solving RTL Assertion Failures
by: Bai, Yunsheng, et al.
Published: (2025)

Towards LLM-Assisted Architecture Recovery for Real-World ROS~2 Systems: An Agent-Based Multi-Level Approach to Hierarchical Structural Architecture Reconstruction
by: Briechle, Dominique, et al.
Published: (2026)

Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs
by: Yang, Ye, et al.
Published: (2025)

Uncertainty Propagation in LLM-Based Systems
by: Xia, Boming, et al.
Published: (2026)

TAAF: A Trace Abstraction and Analysis Framework Synergizing Knowledge Graphs and LLMs
by: Ezaz, Alireza, et al.
Published: (2026)

PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
by: Hubert, Nicolas, et al.
Published: (2023)

The Code Whisperer: LLM and Graph-Based AI for Smell and Vulnerability Resolution
by: Baqar, Mohammad, et al.
Published: (2026)

Repository Intelligence Graph: Deterministic Architectural Map for LLM Code Assistants
by: Cherny-Shahar, Tsvi, et al.
Published: (2026)

Knowledge Tracing in Programming Education Integrating Students' Questions
by: Kim, Doyoun, et al.
Published: (2025)