Saved in:
| Main Author: | Anonimized |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.19410987 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Code Roulette: How Prompt Variability Affects LLM Code Generation
by: Paleyes, Andrei, et al.
Published: (2025)
by: Paleyes, Andrei, et al.
Published: (2025)
Same Prompt, Different Outcomes: Evaluating the Reproducibility of Data Analysis by LLMs
by: Cui, Jiaxin, et al.
Published: (2026)
by: Cui, Jiaxin, et al.
Published: (2026)
jaeukk/SupplementaryData: Supplementary Data and Codes
by: Jaeuk Kim
Published: (2026)
by: Jaeuk Kim
Published: (2026)
AI Coding with Few-Shot Prompting for Thematic Analysis
by: Flanders, Samuel, et al.
Published: (2025)
by: Flanders, Samuel, et al.
Published: (2025)
Supplementary Code for submission to JAG
by: Anonymous
Published: (2025)
by: Anonymous
Published: (2025)
Issue Retrieval and Verification Enhanced Supplementary Code Comment Generation
by: Zou, Yanzhen, et al.
Published: (2025)
by: Zou, Yanzhen, et al.
Published: (2025)
CodeGlance: Understanding Code Reasoning Challenges in LLMs through Multi-Dimensional Feature Analysis
by: Wang, Yunkun, et al.
Published: (2026)
by: Wang, Yunkun, et al.
Published: (2026)
CodeSCM: Causal Analysis for Multi-Modal Code Generation
by: Gupta, Mukur, et al.
Published: (2025)
by: Gupta, Mukur, et al.
Published: (2025)
An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods
by: Kharma, Mohammed, et al.
Published: (2026)
by: Kharma, Mohammed, et al.
Published: (2026)
Overview of Variable Rate Coding in JPEG AI
by: Jia, Panqi, et al.
Published: (2025)
by: Jia, Panqi, et al.
Published: (2025)
Supplementary material for "Perceptual Evaluation of Different Methods for Binaural Rendering of Recordings with Various Microphone Arrays"
by: Lübeck, Tim, et al.
Published: (2026)
by: Lübeck, Tim, et al.
Published: (2026)
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
by: Fu, Tingchen, et al.
Published: (2025)
by: Fu, Tingchen, et al.
Published: (2025)
Selective Prompt Anchoring for Code Generation
by: Tian, Yuan, et al.
Published: (2024)
by: Tian, Yuan, et al.
Published: (2024)
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts
by: Sheokand, Manik, et al.
Published: (2025)
by: Sheokand, Manik, et al.
Published: (2025)
Same Same, But Different: An Examination of Different Student Groups' Information Behaviors
by: Rashika Bahl, et al.
Published: (2025)
by: Rashika Bahl, et al.
Published: (2025)
Prompt-Based No-Code Website Generation Platform
by: Dibjyoti Hota, Dibjyoti Hota, et al.
Published: (2025)
by: Dibjyoti Hota, Dibjyoti Hota, et al.
Published: (2025)
TDD Governance for Multi-Agent Code Generation via Prompt Engineering
by: Hasanli, Tarlan, et al.
Published: (2026)
by: Hasanli, Tarlan, et al.
Published: (2026)
Prompt-based Code Completion via Multi-Retrieval Augmented Generation
by: Tan, Hanzhuo, et al.
Published: (2024)
by: Tan, Hanzhuo, et al.
Published: (2024)
LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering
by: Jelodar, Hamed, et al.
Published: (2026)
by: Jelodar, Hamed, et al.
Published: (2026)
Supplementary materials for: A Natural Language Interface for Music Generation with Markovian Stochastic Methods
by: Pavlov, Viktor
Published: (2026)
by: Pavlov, Viktor
Published: (2026)
Assessing AI-Based Code Assistants in Method Generation Tasks
by: Corso, Vincenzo, et al.
Published: (2024)
by: Corso, Vincenzo, et al.
Published: (2024)
Supplementary material
by: Lee, Sou Hyun
Published: (2026)
by: Lee, Sou Hyun
Published: (2026)
Supplementary material.
by: Vanzin, Alice, et al.
Published: (2025)
by: Vanzin, Alice, et al.
Published: (2025)
Supplementary materials
by: Kostares, Evangelos
Published: (2025)
by: Kostares, Evangelos
Published: (2025)
Supplementary material
by: Alfaya, Ana, et al.
Published: (2025)
by: Alfaya, Ana, et al.
Published: (2025)
Supplementary material
by: Cornils, Astrid, et al.
Published: (2014)
by: Cornils, Astrid, et al.
Published: (2014)
Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
by: Ye, Sixiang, et al.
Published: (2025)
by: Ye, Sixiang, et al.
Published: (2025)
Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
by: Wang, Chung-Yu, et al.
Published: (2024)
by: Wang, Chung-Yu, et al.
Published: (2024)
MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios
by: Demirok, Basak, et al.
Published: (2025)
by: Demirok, Basak, et al.
Published: (2025)
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
by: Wahed, Muntasir, et al.
Published: (2025)
by: Wahed, Muntasir, et al.
Published: (2025)
Verlinde–Bose–Einstein Emergent Gravity: Supplementary Code and Data
by: Morris, Christian W.
Published: (2026)
by: Morris, Christian W.
Published: (2026)
Is This the Same Code? A Comprehensive Study of Decompilation Techniques for WebAssembly Binaries
by: Wu, Wei-Cheng, et al.
Published: (2024)
by: Wu, Wei-Cheng, et al.
Published: (2024)
COMPASS: A Multi-Dimensional Benchmark for Evaluating Code Generation in Large Language Models
by: Meaden, James, et al.
Published: (2025)
by: Meaden, James, et al.
Published: (2025)
On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies
by: Jahromi, Ali Soltanian Fard, et al.
Published: (2026)
by: Jahromi, Ali Soltanian Fard, et al.
Published: (2026)
CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs
by: He, Pengfei, et al.
Published: (2025)
by: He, Pengfei, et al.
Published: (2025)
Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
by: Ashraf, Humza, et al.
Published: (2025)
by: Ashraf, Humza, et al.
Published: (2025)
Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation
by: Roh, Jaechul, et al.
Published: (2025)
by: Roh, Jaechul, et al.
Published: (2025)
CodeNER: Code Prompting for Named Entity Recognition
by: Han, Sungwoo, et al.
Published: (2025)
by: Han, Sungwoo, et al.
Published: (2025)
Probabilistic Design of Multi-Dimensional Spatially-Coupled Codes
by: İrimağzı, Canberk, et al.
Published: (2024)
by: İrimağzı, Canberk, et al.
Published: (2024)
Assessing the Quality and Security of AI-Generated Code: A Quantitative Analysis
by: Sabra, Abbas, et al.
Published: (2025)
by: Sabra, Abbas, et al.
Published: (2025)
Similar Items
-
Code Roulette: How Prompt Variability Affects LLM Code Generation
by: Paleyes, Andrei, et al.
Published: (2025) -
Same Prompt, Different Outcomes: Evaluating the Reproducibility of Data Analysis by LLMs
by: Cui, Jiaxin, et al.
Published: (2026) -
jaeukk/SupplementaryData: Supplementary Data and Codes
by: Jaeuk Kim
Published: (2026) -
AI Coding with Few-Shot Prompting for Thematic Analysis
by: Flanders, Samuel, et al.
Published: (2025) -
Supplementary Code for submission to JAG
by: Anonymous
Published: (2025)