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Large language model ChatGPT versus small deep learning models for self‐admitted technical debt detection: Why not together?

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.3093openalex-snapshot
SDK4ED : A platform for technical debt management
inferredcites →https://doi.org/10.1002/spe.3117openalex-snapshot
Self‐admitted technical debt detection by learning its comprehensive semantics via graph neural networks
inferredcites →https://doi.org/10.1007/978-1-4612-4380-9_16openalex-snapshot
Individual Comparisons by Ranking Methods
inferredcites →https://doi.org/10.1007/s10115-022-01756-8openalex-snapshot
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
inferredcites →https://doi.org/10.1007/s10664-017-9522-4openalex-snapshot
Identifying self-admitted technical debt in open source projects using text mining
inferredcites →https://doi.org/10.1007/s11704-021-1080-7openalex-snapshot
Effective ensemble learning approach for SST field prediction using attention-based PredRNN
inferredcites →https://doi.org/10.1007/s11704-022-1437-6openalex-snapshot
Joint user profiling with hierarchical attention networks
inferredcites →https://doi.org/10.1016/j.asoc.2021.107649openalex-snapshot
AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features
inferredcites →https://doi.org/10.1016/j.infsof.2015.04.001openalex-snapshot
The financial aspect of managing technical debt: A systematic literature review
inferredcites →https://doi.org/10.1016/j.infsof.2015.10.008openalex-snapshot
Identification and management of technical debt: A systematic mapping study
inferredcites →https://doi.org/10.1016/j.infsof.2020.106270openalex-snapshot
Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary
inferredcites →https://doi.org/10.1016/j.infsof.2022.106922openalex-snapshot
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information
inferredcites →https://doi.org/10.1016/j.infsof.2023.107190openalex-snapshot
Detecting multi-type self-admitted technical debt with generative adversarial network-based neural networks
inferredcites →https://doi.org/10.1016/j.jss.2012.12.052openalex-snapshot
An exploration of technical debt
inferredcites →https://doi.org/10.1016/j.jss.2014.12.027openalex-snapshot
A systematic mapping study on technical debt and its management
inferredcites →https://doi.org/10.1016/j.jss.2017.09.026openalex-snapshot
On the value of a prioritization scheme for resolving Self-admitted technical debt
inferredcites →https://doi.org/10.1016/j.jss.2022.111219openalex-snapshot
Exploiting gated graph neural network for detecting and explaining self-admitted technical debts
inferredcites →https://doi.org/10.1016/j.jss.2023.111672openalex-snapshot
Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer
inferredcites →https://doi.org/10.1037//0033-2909.114.3.494openalex-snapshot
Dominance statistics: Ordinal analyses to answer ordinal questions.
inferredcites →https://doi.org/10.1109/access.2019.2933318openalex-snapshot
Identification of Self-Admitted Technical Debt Using Enhanced Feature Selection Based on Word Embedding
inferredcites →https://doi.org/10.1109/access.2020.2988550openalex-snapshot
Sentiment Classification Using a Single-Layered BiLSTM Model
inferredcites →https://doi.org/10.1109/access.2023.3255164openalex-snapshot
Hyperspectral Image Classification: An Analysis Employing CNN, LSTM, Transformer, and Attention Mechanism
inferredcites →https://doi.org/10.1109/ase56229.2023.00103openalex-snapshot
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?
inferredcites →https://doi.org/10.1109/ase56229.2023.00109openalex-snapshot
What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9006248openalex-snapshot
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
inferredcites →https://doi.org/10.1109/icaica.2019.8873454openalex-snapshot
Research on Text Classification Based on CNN and LSTM
inferredcites →https://doi.org/10.1109/icpc52881.2021.00010openalex-snapshot
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts
inferredcites →https://doi.org/10.1109/icse48619.2023.00185openalex-snapshot
CoCoSoDa: Effective Contrastive Learning for Code Search
inferredcites →https://doi.org/10.1109/icsm.2004.1357820openalex-snapshot
Detection strategies: metrics-based rules for detecting design flaws
inferredcites →https://doi.org/10.1109/icsme.2014.31openalex-snapshot
An Exploratory Study on Self-Admitted Technical Debt
inferredcites →https://doi.org/10.1109/icsme.2017.44openalex-snapshot
Recommending when Design Technical Debt Should be Self-Admitted
inferredcites →https://doi.org/10.1109/icsme.2019.00029openalex-snapshot
Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More?
inferredcites →https://doi.org/10.1109/iwesep.2018.00010openalex-snapshot
Identifying Design and Requirement Self-Admitted Technical Debt Using N-gram IDF
inferredcites →https://doi.org/10.1109/mitp.2024.3379831openalex-snapshot
ChatGPT for Software Development: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/miucc58832.2023openalex-snapshot
2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)
inferredcites →https://doi.org/10.1109/miucc58832.2023.10278387openalex-snapshot
A Comprehensive Review on Transformers Models For Text Classification
inferredcites →https://doi.org/10.1109/ms.2012.130openalex-snapshot
A Balancing Act: What Software Practitioners Have to Say about Technical Debt
inferredcites →https://doi.org/10.1109/ms.2012.167openalex-snapshot
Technical Debt: From Metaphor to Theory and Practice
inferredcites →https://doi.org/10.1109/ms.2017.99openalex-snapshot
Technical Debt: Challenges and Perspectives
inferredcites →https://doi.org/10.1109/saner.2016.72openalex-snapshot
Examining the Impact of Self-Admitted Technical Debt on Software Quality
inferredcites →https://doi.org/10.1109/saner48275.2020.9054868openalex-snapshot
Automatically Learning Patterns for Self-Admitted Technical Debt Removal
inferredcites →https://doi.org/10.1109/tetc.2023.3258503openalex-snapshot
Software Aging Prediction for Cloud Services Using a Gate Recurrent Unit Neural Network Model Based on Time Series Decomposition
inferredcites →https://doi.org/10.1109/tgrs.2020.2979273openalex-snapshot
Deep Cross-Modal Image–Voice Retrieval in Remote Sensing
inferredcites →https://doi.org/10.1109/tgrs.2023.3255302openalex-snapshot
Deep Saliency Smoothing Hashing for Drone Image Retrieval
inferredcites →https://doi.org/10.1109/tr.2023.3236404openalex-snapshot
AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation
inferredcites →https://doi.org/10.1109/tse.2017.2654244openalex-snapshot
Using Natural Language Processing to Automatically Detect Self-Admitted Technical Debt
inferredcites →https://doi.org/10.1109/tse.2018.2794977openalex-snapshot
The Impact of Automated Parameter Optimization on Defect Prediction Models
inferredcites →https://doi.org/10.1109/tse.2018.2831232openalex-snapshot
Automating Change-Level Self-Admitted Technical Debt Determination
inferredcites →https://doi.org/10.1109/tse.2020.3031401openalex-snapshot
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach
inferredcites →https://doi.org/10.1109/ubmk52708.2021.9558906openalex-snapshot
Improving Text Classification with Transformer
inferredcites →https://doi.org/10.1109/wicsa.2015.19openalex-snapshot
Architectural Technical Debt Identification Based on Architecture Decisions and Change Scenarios
inferredcites →https://doi.org/10.1145/143062openalex-snapshot
0897915046/International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/157710.157715openalex-snapshot
The WyCash portfolio management system
inferredcites →https://doi.org/10.1145/2460999.2461005openalex-snapshot
A case study on effectively identifying technical debt
inferredcites →https://doi.org/10.1145/3041765.3041774openalex-snapshot
Technical Debt
inferredcites →https://doi.org/10.1145/3324884.3416583openalex-snapshot
Detecting and explaining self-admitted technical debts with attention-based neural networks
inferredcites →https://doi.org/10.1145/3324916openalex-snapshot
Neural Network-based Detection of Self-Admitted Technical Debt
inferredcites →https://doi.org/10.1145/3439726openalex-snapshot
Deep Learning--based Text Classification
inferredcites →https://doi.org/10.1145/3582574openalex-snapshot
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding
inferredcites →https://doi.org/10.1145/3604608openalex-snapshot
Towards Practical Binary Code Similarity Detection: Vulnerability Verification via Patch Semantic Analysis
inferredcites →https://doi.org/10.1162/99608f92.5317da47openalex-snapshot
How Is ChatGPT’s Behavior Changing Over Time?
inferredcites →https://doi.org/10.1214/009053606000000425openalex-snapshot
On the Benjamini–Hochberg method
inferredcites →https://doi.org/10.1561/1500000019openalex-snapshot
The Probabilistic Relevance Framework: BM25 and Beyond
inferredcites →https://doi.org/10.3390/s21196417openalex-snapshot
Improving Ponzi Scheme Contract Detection Using Multi-Channel TextCNN and Transformer
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.2201.11903openalex-snapshot
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.52202/068431-1613openalex-snapshot
Large Language Models Are Zero-Shot Reasoners
inferredcites →https://doi.org/10.55529/ijitc.31.17.22openalex-snapshot
Use Chat GPT to Solve Programming Bugs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/spe.3432openalex-snapshot
NoCodeGPT: A No‐Code Interface for Building Web Apps With Language Models
inferred← citeshttps://doi.org/10.1002/spe.70027openalex-snapshot
Exploring Influence Factors on LLM Suitability for No‐Code Development of End User Applications
inferred← citeshttps://doi.org/10.1007/s00521-024-10437-2openalex-snapshot
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
inferred← citeshttps://doi.org/10.1007/s10664-026-10807-5openalex-snapshot
Automated detection of algorithm debt in deep learning frameworks: an empirical study
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112629openalex-snapshot
Leveraging multi-task learning to fine-tune RoBERTa for self-admitted technical debt identification and classification
inferred← citeshttps://doi.org/10.1016/j.scico.2026.103540openalex-snapshot
Method-level technical debt detection based on source code and comments
inferred← citeshttps://doi.org/10.1109/access.2026.3661069openalex-snapshot
Automated Detection of Self-Admitted Technical Debt: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00047openalex-snapshot
Where Is Self-admitted Code Generated by Large Language Models on GitHub?
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00067openalex-snapshot
How Do Developers Use ChatGPT for Software Test Generation? Usage Patterns, Satisfaction, and Code Adoption Analysis
inferred← citeshttps://doi.org/10.1109/bigcomp68355.2026.00065openalex-snapshot
A Novel Large-Small Model Collaboration Framework for Code Generation: Balancing Cost and Accuracy
inferred← citeshttps://doi.org/10.1109/icca65395.2025.11011073openalex-snapshot
Hybrid BERT, CNN-BILSTM Model for Detecting Self-Admitted Technical Debt in Software Development
inferred← citeshttps://doi.org/10.1109/istem-ed65612.2025.11129281openalex-snapshot
Next-Gen Learning Pathways: Outcome-Based Curriculum Design in Thai Higher Education with Microsoft Copilot
inferred← citeshttps://doi.org/10.1109/saner64311.2025.00027openalex-snapshot
Improving API Knowledge Comprehensibility: A Context-Dependent Entity Detection and Context Completion Approach Using LLM
inferred← citeshttps://doi.org/10.1142/s0218194025500238openalex-snapshot
RESEARCH NOTES: Multiclass Classification for Self-Admitted Technical Debt via Large Pre-Trained Language Model
inferred← citeshttps://doi.org/10.1145/3747180openalex-snapshot
IMPACT: Identifying and Classifying Multiple Sourced and Categorized Self-Admitted Technical Debts
inferred← citeshttps://doi.org/10.1145/3786791openalex-snapshot
Understanding Self-Admitted Technical Debt in Test Code: An Empirical Study
inferred← citeshttps://doi.org/10.1145/3794915.3795777openalex-snapshot
“TODO: Fix the Mess Gemini Created”: Towards Understanding GenAI-Induced Self-Admitted Technical Debt
inferred← citeshttps://doi.org/10.1145/3803437.3805580openalex-snapshot
Rethinking Software Quality Measurement: A Vision for AI-Assisted Triangulation in the Post-Metrics Era
inferred← citeshttps://doi.org/10.7717/peerj-cs.3227openalex-snapshot
Predicting software developer sentiment on self-admitted technical debt
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