Cover Image

Do Deployment Constraints Make LLMs Hallucinate Citations? An Empirical Study across Four Models and Five Prompting Regimes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Chen, Tang, Yuan, Qian, Yitian
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating LLM-Based Mobile App Recommendations: An Empirical Study
by: Motger, Quim, et al.
Published: (2025)

An Empirical Study of Multi-Agent RAG for Real-World University Admissions Counseling
by: Nguyen-Duc, Anh, et al.
Published: (2025)

How Do Experts Make Sense of Integrated Process Models?
by: Chen, Tianwa, et al.
Published: (2025)

Optimizing Retrieval Augmented Generation for Object Constraint Language
by: Li, Kevin Chenhao, et al.
Published: (2025)

Leveraging Graph-RAG and Prompt Engineering to Enhance LLM-Based Automated Requirement Traceability and Compliance Checks
by: Masoudifard, Arsalan, et al.
Published: (2024)

Constraint based Modeling according to Reference Design
by: Heiland, Erik, et al.
Published: (2024)

Modular Layout Synthesis (MLS): Front-end Code via Structure Normalization and Constrained Generation
by: Liu, Chong, et al.
Published: (2025)

CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming
by: Deng, Han, et al.
Published: (2025)

Repairing Language Model Pipelines by Meta Self-Refining Competing Constraints at Runtime
by: Eshghie, Mojtaba
Published: (2025)

A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation
by: Simon, Sebastian, et al.
Published: (2024)

Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning
by: Feng, Jiadong, et al.
Published: (2024)

Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models
by: Chandramohan, Mahinthan, et al.
Published: (2024)

SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining
by: Jelodar, Hamed, et al.
Published: (2025)

Multi-View Adaptive Contrastive Learning for Information Retrieval Based Fault Localization
by: Zhou, Chunying, et al.
Published: (2024)

What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
by: Motger, Quim, et al.
Published: (2025)

MGS3: A Multi-Granularity Self-Supervised Code Search Framework
by: Li, Rui, et al.
Published: (2025)

Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization
by: Krishnan, Saravanan, et al.
Published: (2025)

FLOWER: Flow-Oriented Entity-Relationship Tool
by: Moskalev, Dmitry
Published: (2025)

GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer
by: Ye, Yufan, et al.
Published: (2025)

Use as Directed? A Comparison of Software Tools Intended to Check Rigor and Transparency of Published Work
by: Eckmann, Peter, et al.
Published: (2025)

A Survey on Query-based API Recommendation
by: Wei, Moshi, et al.
Published: (2023)

From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
by: Kurowski, Kelly, et al.
Published: (2025)

Using GPT to build a Project Management assistant for Jira environments
by: Garcia-Escribano, Joel, et al.
Published: (2025)

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code
by: Das, Susmita, et al.
Published: (2025)

Towards Analysing Invoices and Receipts with Amazon Textract
by: Oommen, Sneha, et al.
Published: (2025)

Development of an Automated Web Application for Efficient Web Scraping: Design and Implementation
by: Dutta, Alok, et al.
Published: (2025)

Balanced Knowledge Distribution among Software Development Teams -- Observations from Open-Source and Closed-Source Software Development
by: Shafiq, Saad, et al.
Published: (2022)

Code-Craft: Hierarchical Graph-Based Code Summarization for Enhanced Context Retrieval
by: Sounthiraraj, David, et al.
Published: (2025)

Nirjas: An open source framework for extracting metadata from the source code
by: Bhardwaj, Ayush, et al.
Published: (2024)

yProv4DV: Reproducible Data Visualization Scripts Out of the Box
by: Padovani, Gabriele, et al.
Published: (2026)

Less is More: On the Importance of Data Quality for Unit Test Generation
by: Zhang, Junwei, et al.
Published: (2025)

Source Code Clone Detection Using Unsupervised Similarity Measures
by: Martinez-Gil, Jorge
Published: (2024)

The Impact Of Bug Localization Based on Crash Report Mining: A Developers' Perspective
by: Medeiros, Marcos, et al.
Published: (2024)

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub
by: Lyu, Bohan, et al.
Published: (2023)

Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
by: Chen, Rufeng, et al.
Published: (2025)

Studying and Recommending Information Highlighting in Stack Overflow Answers
by: Ahmed, Shahla Shaan, et al.
Published: (2024)

Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends
by: Bettencourt, João, et al.
Published: (2026)

ODataX: A Progressive Evolution of the Open Data Protocol
by: Ganesh, Anirudh, et al.
Published: (2025)

Language Model Powered Digital Biology with BRAD
by: Pickard, Joshua, et al.
Published: (2024)

CLAX: Fast and Flexible Neural Click Models in JAX
by: Hager, Philipp, et al.
Published: (2025)