:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ionescu, Andrei Cristian, Titov, Sergey, Izadi, Maliheh
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2503.23421
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
by: Sergeyuk, Agnia, et al.
Published: (2024)

Does In-IDE Calibration of Large Language Models work at Scale?
by: Koohestani, Roham, et al.
Published: (2025)

Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests
by: Deljouyi, Amirhossein, et al.
Published: (2024)

Evaluating Large Language Models for Functional and Maintainable Code in Industrial Settings: A Case Study at ASML
by: Mundhra, Yash, et al.
Published: (2025)

Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective
by: Koohestani, Roham, et al.
Published: (2025)

Traces of Memorisation in Large Language Models for Code
by: Al-Kaswan, Ali, et al.
Published: (2023)

HyperSeq: A Hyper-Adaptive Representation for Predictive Sequencing of States
by: Koohestani, Roham, et al.
Published: (2025)

Developer Needs and Feasible Features for AI Assistants in IDEs
by: Sergeyuk, Agnia, et al.
Published: (2024)

An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets
by: Katzy, Jonathan, et al.
Published: (2024)

Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks
by: Al-Kaswan, Ali, et al.
Published: (2025)

Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality
by: Koohestani, Roham, et al.
Published: (2025)

RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice
by: Yang, Rui, et al.
Published: (2025)

Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering
by: Li, Ziyou, et al.
Published: (2025)

Developer Interaction Patterns with Proactive AI: A Five-Day Field Study
by: Kuo, Nadine, et al.
Published: (2026)

AST-PAC: AST-guided Membership Inference for Code
by: Koohestani, Roham, et al.
Published: (2026)

TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs
by: Cipollone, Daniele, et al.
Published: (2025)

Model See, Model Do? Exposure-Aware Evaluation of Bug-vs-Fix Preference in Code LLMs
by: Al-Kaswan, Ali, et al.
Published: (2026)

Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
by: Sergeyuk, Agnia, et al.
Published: (2025)

ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought Prompting
by: Chen, Zhijie, et al.
Published: (2025)

TriCEGAR: A Trace-Driven Abstraction Mechanism for Agentic AI
by: Koohestani, Roham, et al.
Published: (2026)

Language Models for Code Completion: A Practical Evaluation
by: Izadi, Maliheh, et al.
Published: (2024)

Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models
by: Yang, Guang, et al.
Published: (2023)

A Transformer-Based Approach for Smart Invocation of Automatic Code Completion
by: de Moor, Aral, et al.
Published: (2024)

Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time
by: Popescu, Razvan Mihai, et al.
Published: (2026)

Code4MeV2: a Research-oriented Code-completion Platform
by: Koohestani, Roham, et al.
Published: (2025)

MSCoT: Structured Chain-of-Thought Generation for Multiple Programming Languages
by: Jin, Naizhu, et al.
Published: (2025)

Enhancing Large Language Models with Retrieval Augmented Generation for Software Testing and Inspection Automation
by: Fingleton, Zoe, et al.
Published: (2026)

Creativity, Generative AI, and Software Development: A Research Agenda
by: Jackson, Victoria, et al.
Published: (2024)

Prompt-based Code Completion via Multi-Retrieval Augmented Generation
by: Tan, Hanzhuo, et al.
Published: (2024)

A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics
by: Katzy, Jonathan, et al.
Published: (2025)

Model-Driven Quantum Code Generation Using Large Language Models and Retrieval-Augmented Generation
by: Siavash, Nazanin, et al.
Published: (2025)

Hidden Gems in the Rough: Computational Notebooks as an Uncharted Oasis for IDEs
by: Titov, Sergey, et al.
Published: (2024)

Building Specialized Software-Assistant ChatBot with Graph-Based Retrieval-Augmented Generation
by: Hilel, Mohammed, et al.
Published: (2025)

VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
by: Le, Cuong Chi, et al.
Published: (2024)

Evaluating Non-English Developer Support in Machine Learning for Software Engineering
by: Katzy, Jonathan, et al.
Published: (2026)

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
by: Zhu, Yuqi, et al.
Published: (2025)

GUARD:Dual-Agent based Backdoor Defense on Chain-of-Thought in Neural Code Generation
by: Jin, Naizhu, et al.
Published: (2025)

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation
by: Keshri, Rajat, et al.
Published: (2025)

SABER: Model-agnostic Backdoor Attack on Chain-of-Thought in Neural Code Generation
by: Jin, Naizhu, et al.
Published: (2024)

Themisto: Jupyter-Based Runtime Benchmark
by: Grotov, Konstantin, et al.
Published: (2025)