Cover Image

Leveraging Design-Aware Context in Large Language Models for Code Comment Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mitra, Aritra, Majumdar, Srijoni, Mukhopadhyay, Anamitra, Das, Partha Pratim, Clough, Paul D, Chakrabarti, Partha Pratim
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization
by: Kumar, Abhishek, et al.
Published: (2024)

Revisiting the Role of Natural Language Code Comments in Code Translation
by: Gupta, Monika, et al.
Published: (2026)

Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)

Lattice-Boltzmann-Driven Physics-Informed Neural Networks for Droplet Wettability on Rough Surfaces
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)

Extending deep learning U-Net architecture for predicting unsteady fluid flows in textured microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)

ReFrame: Rectification Framework for Image Explaining Architectures
by: Adhikary, Debjyoti Das, et al.
Published: (2025)

Automated and Context-Aware Code Documentation Leveraging Advanced LLMs
by: Sarker, Swapnil Sharma, et al.
Published: (2025)

DesignCoder: Hierarchy-Aware and Self-Correcting UI Code Generation with Large Language Models
by: Chen, Yunnong, et al.
Published: (2025)

Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning
by: Zhao, Junjie, et al.
Published: (2023)

DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies
by: Dau, Anh T. V., et al.
Published: (2023)

A Survey of using Large Language Models for Generating Infrastructure as Code
by: Srivatsa, Kalahasti Ganesh, et al.
Published: (2024)

Leveraging Reward Models for Guiding Code Review Comment Generation
by: Sghaier, Oussama Ben, et al.
Published: (2025)

Perspective Chapter: MOOCs in India: Evolution, Innovation, Impact, and Roadmap
by: Das, Partha Pratim
Published: (2025)

Automated Classification of Human Code Review Comments with Large Language Models
by: Çağlar, Semih, et al.
Published: (2026)

RepoScope: Leveraging Call Chain-Aware Multi-View Context for Repository-Level Code Generation
by: Liu, Yang, et al.
Published: (2025)

$μ$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)

Cross-Task Benchmarking and Evaluation of General-Purpose and Code-Specific Large Language Models
by: Das, Gunjan, et al.
Published: (2025)

Human Side of Smart Contract Fuzzing: An Empirical Study
by: Qiao, Guanming, et al.
Published: (2025)

Leveraging Reviewer Experience in Code Review Comment Generation
by: Lin, Hong Yi, et al.
Published: (2024)

AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM
by: Bappon, Suborno Deb, et al.
Published: (2024)

Leveraging Print Debugging to Improve Code Generation in Large Language Models
by: Hu, Xueyu, et al.
Published: (2024)

SmartDoc: A Context-Aware Agentic Method Comment Generation Plugin
by: Etemadi, Vahid, et al.
Published: (2025)

SQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference Optimization
by: Yu, Lei, et al.
Published: (2026)

When Retriever Meets Generator: A Joint Model for Code Comment Generation
by: Le, Tien P. T., et al.
Published: (2025)

Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
by: Aljagthami, Aamer, et al.
Published: (2025)

Knowledge-Aware Code Generation with Large Language Models
by: Huang, Tao, et al.
Published: (2024)

Automating Patch Set Generation from Code Review Comments Using Large Language Models
by: Rahman, Tajmilur, et al.
Published: (2024)

Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework
by: Shen, Jianru, et al.
Published: (2026)

Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
by: Nguyen, Phong, et al.
Published: (2025)

Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework
by: Zhang, Hang, et al.
Published: (2025)

Optimizing Knowledge Utilization for Multi-Intent Comment Generation with Large Language Models
by: Li, Shuochuan, et al.
Published: (2025)

Can Large Language Models Generate Geospatial Code?
by: Hou, Shuyang, et al.
Published: (2024)

Large Language Models for Code Generation: The Practitioners Perspective
by: Rasheed, Zeeshan, et al.
Published: (2025)

Optimizing Large Language Model Hyperparameters for Code Generation
by: Arora, Chetan, et al.
Published: (2024)

Aligning Requirement for Large Language Model's Code Generation
by: Tian, Zhao, et al.
Published: (2025)

Self-planning Code Generation with Large Language Models
by: Jiang, Xue, et al.
Published: (2023)

PSD2Code: Automated Front-End Code Generation from Design Files via Multimodal Large Language Models
by: Chen, Yongxi, et al.
Published: (2025)

Hierarchical Evaluation of Software Design Capabilities of Large Language Models of Code
by: Saad, Mootez, et al.
Published: (2025)

DREAMS: Modelling Support for Research into Engineering and Artistic Design
by: Chakrabarti, Apala
Published: (2026)

Comment Traps: How Defective Commented-out Code Augment Defects in AI-Assisted Code Generation
by: Huang, Yuan, et al.
Published: (2025)