On the public citation graph

Large Language Model-Aware In-Context Learning for Code Generation

0 signed · 44 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.jss.2023.111734openalex-snapshot
GitHub Copilot AI pair programmer: Asset or Liability?
inferredcites →https://doi.org/10.1109/ase56229.2023.00210openalex-snapshot
ZC3: Zero-Shot Cross-Language Code Clone Detection
inferredcites →https://doi.org/10.1109/floss.2007.10openalex-snapshot
Large-Scale Code Reuse in Open Source Software
inferredcites →https://doi.org/10.1109/icse48619.2023.00072openalex-snapshot
Syntax and Domain Aware Model for Unsupervised Program Translation
inferredcites →https://doi.org/10.1109/tkde.2022.3218803openalex-snapshot
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting
inferredcites →https://doi.org/10.1109/tkde.2024.3371931openalex-snapshot
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1145/3368089.3417058openalex-snapshot
IntelliCode compose: code generation using transformer
inferredcites →https://doi.org/10.1145/3691620.3695000openalex-snapshot
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates
inferredcites →https://doi.org/10.13140/rg.2.2.32525.92648openalex-snapshot
AceCoder: Utilizing Existing Code to Enhance Code Generation
inferredcites →https://doi.org/10.1609/aaai.v34i05.6430openalex-snapshot
TreeGen: A Tree-Based Transformer Architecture for Code Generation
inferredcites →https://doi.org/10.1609/aaai.v39i24.34714openalex-snapshot
A Comprehensive Evaluation on Event Reasoning of Large Language Models
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.211openalex-snapshot
Unified Pre-training for Program Understanding and Generation
inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10489-026-07230-0openalex-snapshot
Code generation with large language models: a survey from neural program synthesis to autonomous software development
inferred← citeshttps://doi.org/10.1016/j.apenergy.2024.124666openalex-snapshot
Applying fine-tuned LLMs for reducing data needs in load profile analysis
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115934openalex-snapshot
ADFCoder: Evolutionary requirements comprehension based on flowchart image with complex logic structure and domain-specific requirements
inferred← citeshttps://doi.org/10.1016/j.ijin.2025.11.005openalex-snapshot
Enhancing blockchain network security: A targetable machine learning model for effective vulnerability repair
inferred← citeshttps://doi.org/10.1016/j.jss.2024.112149openalex-snapshot
Project-specific code summarization with in-context learning
inferred← citeshttps://doi.org/10.1016/j.patrec.2025.10.007openalex-snapshot
Comprehending C codes with LLMs: Effective comment generation through retrieval and reasoning
inferred← citeshttps://doi.org/10.1109/access.2025.3631952openalex-snapshot
LLM-Based Code Generation: A Systematic Literature Review With Technical and Demographic Insights
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00075openalex-snapshot
PseudoFix: Refactoring Distorted Structures in Decompiled C Pseudocode
inferred← citeshttps://doi.org/10.1109/asew67777.2025.00046openalex-snapshot
Explaining Code Risk in OSS: Towards LLM-Generated Fault Prediction Interpretations
inferred← citeshttps://doi.org/10.1109/cicn70047.2026.11594236openalex-snapshot
Closing the Loop: Code Generation and Intelligent Debugging with Large Language Models
inferred← citeshttps://doi.org/10.1109/elcon-cp69823.2026.11452207openalex-snapshot
Software Development Using Transformer-Based LLMs
inferred← citeshttps://doi.org/10.1109/globecom52923.2024.10901312openalex-snapshot
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463415openalex-snapshot
SimulatorCoder: DNN Accelerator Simulator Code Generation and Optimization Via Large Language Models
inferred← citeshttps://doi.org/10.1109/iccad66269.2025.11240771openalex-snapshot
VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs
inferred← citeshttps://doi.org/10.1109/icce67443.2026.11449835openalex-snapshot
Utilizing Chain of Thought to Generate Code from Challenging Programming Requirements
inferred← citeshttps://doi.org/10.1109/icvee66651.2025.11281435openalex-snapshot
A Study of Slide Annotation Generating System from Online Presentations
inferred← citeshttps://doi.org/10.1109/smartnets69662.2026.11604974openalex-snapshot
IDE-Sanitizer: A Prompt-Injection Cryptographic Context Guard for IDE Copilots
inferred← citeshttps://doi.org/10.1109/tnse.2026.3653678openalex-snapshot
DroneTest-Copilot: LLM-Powered Automated Detection and Repair of Flaws in Drone Autotest Suites
inferred← citeshttps://doi.org/10.1109/tse.2025.3599581openalex-snapshot
Vercation: Precise Vulnerable Open-Source Software Version Identification Based on Static Analysis and LLM
inferred← citeshttps://doi.org/10.1109/vl-hcc65237.2025.00034openalex-snapshot
Exploring the Challenges and Opportunities of AI-assisted Codebase Generation
inferred← citeshttps://doi.org/10.1145/3664597openalex-snapshot
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
inferred← citeshttps://doi.org/10.1145/3691339openalex-snapshot
A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
inferred← citeshttps://doi.org/10.1145/3777383openalex-snapshot
Large Language Models for Code Translation: An In-Depth Analysis of Code Smells and Functional Correctness
inferred← citeshttps://doi.org/10.1145/3832275openalex-snapshot
What Makes In-Context Examples Effective for Code Generation?
inferred← citeshttps://doi.org/10.1145/3844732openalex-snapshot
On the Effectiveness of Training Data Optimization for LLM-based Code Generation: An Empirical Study
inferred← citeshttps://doi.org/10.1609/aaai.v38i1.27798openalex-snapshot
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models
inferred← citeshttps://doi.org/10.20944/preprints202406.1105.v1openalex-snapshot
Withdrawn: Enhancing Natural Language to Code Generation in the SantaCoder Model through In-Context Learning
inferred← citeshttps://doi.org/10.3390/app15189907openalex-snapshot
Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study
inferred← citeshttps://doi.org/10.3390/fi17090418openalex-snapshot
Refactoring Loops in the Era of LLMs: A Comprehensive Study
inferred← citeshttps://doi.org/10.3390/jimaging11100333openalex-snapshot
Effects of Biases in Geometric and Physics-Based Imaging Attributes on Classification Performance
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.