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Structured Chain-of-Thought Prompting for Code Generation

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

inferredcites →https://doi.org/10.1007/3-540-45672-4_31openalex-snapshot
Refactoring: Improving the Design of Existing Code
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/icse48619.2023.00179openalex-snapshot
SkCoder: A Sketch-based Approach for Automatic Code Generation
inferredcites →https://doi.org/10.1145/1089786.1089799openalex-snapshot
What does it take to learn 'programming thinking'?
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/355592.365646openalex-snapshot
Flow diagrams, turing machines and languages with only two formation rules
inferredcites →https://doi.org/10.1145/3580305.3599790openalex-snapshot
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
inferredcites →https://doi.org/10.1145/3597207openalex-snapshot
CodeEditor : Learning to Edit Source Code with Pre-trained Models
inferredcites →https://doi.org/10.1145/3675395openalex-snapshot
AceCoder : An Effective Prompting Technique Specialized in Code Generation
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.45openalex-snapshot
Self-Edit: Fault-Aware Code Editor for Code Generation
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.754openalex-snapshot
Self-Instruct: Aligning Language Models with Self-Generated Instructions
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.68openalex-snapshot
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
inferredcites →https://doi.org/10.18653/v1/2023.findings-aclopenalex-snapshot
Findings of the Association for Computational Linguistics: ACL 2023
inferredcites →https://doi.org/10.18653/v1/n19-1421openalex-snapshot
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
inferredcites →https://doi.org/10.4230/lipics.cosit.2024.11openalex-snapshot
GPT-4 Technical Report
inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot
Discernment and Social Learning as a Companion Training Layer
inferredcites →https://doi.org/10.48550/arxiv.2206.13179openalex-snapshot
AixBench: A Code Generation Benchmark Dataset
inferredcites →https://doi.org/10.48550/arxiv.2302.13971openalex-snapshot
LLaMA: Open and Efficient Foundation Language Models
inferredcites →https://doi.org/10.48550/arxiv.2401.14196openalex-snapshot
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
inferredcites →https://doi.org/10.48550/arxiv.2404.00599openalex-snapshot
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
inferredcites →https://doi.org/10.52202/068431-0976openalex-snapshot
Fault-Aware Neural Code Rankers

What points at this work

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

inferred← citeshttps://doi.org/10.1002/sam.70093openalex-snapshot
Prompting Shapes the Statistical Tails of LLM ‐Generated Biomedical Data
inferred← citeshttps://doi.org/10.1007/978-3-031-69577-3_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-18316-3_27openalex-snapshot
Chain of Thought Guided Fine-Tuning of Large Language Models for Rubric-Assisted Automated Essay Grading
inferred← citeshttps://doi.org/10.1007/978-3-032-22774-4_3openalex-snapshot
From Words to Code: Do NLP Prompting Strategies Generalize to Code Generation?
inferred← citeshttps://doi.org/10.1007/978-3-032-32732-1_9openalex-snapshot
Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs Via a Structured Prompt Framework
inferred← citeshttps://doi.org/10.1007/978-981-95-2751-9_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116447openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2026.3662817openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2026.3663331openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00021openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ase63991.2025.00144openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ase63991.2025.00154openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ase63991.2025.00297openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/asp-dac66049.2026.11420573openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cascon66301.2025.00037openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cascon66301.2025.00080openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/compsac69091.2026.00046openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133316openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/dsa66321.2025.00019openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/dsa66321.2025.00022openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icbdse65491.2025.11220101openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00557openalex-snapshot
Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
inferred← citeshttps://doi.org/10.1109/icicml67980.2025.11333708openalex-snapshot
A Multi-Agent Workflow for 3D Visualization Code Generation and Evaluation Based on Spatial-MLLM
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inferred← citeshttps://doi.org/10.1109/icscss69635.2026.11645719openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icse-seip66354.2025.00025openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icse55347.2025.00108openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icse55347.2025.00140openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icse55347.2025.00199openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00049openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00088openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsp62129.2024.10846743openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icst69053.2026.00094openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iisec69317.2026.11418478openalex-snapshot
Chain-of-Thought vs. Few-Shot: A Comparative Study of Prompting Strategies for Code Generation
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228272openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3643795.3648388openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3650212.3680308openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3719027.3765049openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3759425.3763377openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3765325.3765338openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3765325.3765339openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3770855.3818485openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3774748.3787629openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3774748.3787635openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3794763.3794798openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3797096openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3803846.3807461openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3832783.3837487openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3832783.3837524openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3844732openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3849809openalex-snapshot
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Positive sentiments in early academic literature on DeepSeek: a cross-disciplinary mini review
inferred← citeshttps://doi.org/10.3390/aerospace12060498openalex-snapshot
Using Large Language Models for Aerospace Code Generation: Methods, Benchmarks, and Potential Values
inferred← citeshttps://doi.org/10.3390/app152010968openalex-snapshot
Large Language Models for Machine Learning Design Assistance: Prompt-Driven Algorithm Selection and Optimization in Diverse Supervised Learning Tasks
inferred← citeshttps://doi.org/10.3390/electronics13214195openalex-snapshot
CPEQA: A Large Language Model Based Knowledge Base Retrieval System for Chinese Confidentiality Knowledge Question Answering
inferred← citeshttps://doi.org/10.3390/electronics13245040openalex-snapshot
A Review of Large Language Models: Fundamental Architectures, Key Technological Evolutions, Interdisciplinary Technologies Integration, Optimization and Compression Techniques, Applications, and Challenges
inferred← citeshttps://doi.org/10.3390/machines14030322openalex-snapshot
Research on Root Cause Analysis Method for Certain Civil Aircraft Based on Ensemble Learning and Large Language Model Reasoning
inferred← citeshttps://doi.org/10.3390/software4010005openalex-snapshot
A Systematic Approach for Assessing Large Language Models’ Test Case Generation Capability
inferred← citeshttps://doi.org/10.7717/peerj-cs.3231openalex-snapshot
CE-Prompt: enhance prompt expression stability by multiple understanding
inferred← citeshttps://doi.org/10.7717/peerj-cs.3950openalex-snapshot
A cost-effective approach for knowledge graph reasoning path retrieval and enhanced large language model reliability
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.