Automatic Programming: Large Language Models and Beyond
Fuente:
arXiv
Saved in:
| Main Authors: | Lyu, Michael R., Ray, Baishakhi, Roychoudhury, Abhik, Tan, Shin Hwei, Thongtanunam, Patanamon |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Agentic AI Software Engineers: Programming with Trust
by: Roychoudhury, Abhik, et al.
Published: (2025)
by: Roychoudhury, Abhik, et al.
Published: (2025)
Assured Automatic Programming via Large Language Models
by: Mirchev, Martin, et al.
Published: (2024)
by: Mirchev, Martin, et al.
Published: (2024)
Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification
by: Nguyen, Linh, et al.
Published: (2025)
by: Nguyen, Linh, et al.
Published: (2025)
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks
by: Khant, Kyi Shin, et al.
Published: (2025)
by: Khant, Kyi Shin, et al.
Published: (2025)
Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
by: Liu, Chunhua, et al.
Published: (2025)
by: Liu, Chunhua, et al.
Published: (2025)
Enhancing Neural Code Representation with Additional Context
by: Nguyen, Huy, et al.
Published: (2025)
by: Nguyen, Huy, et al.
Published: (2025)
Agentic AI for Software: thoughts from Software Engineering community
by: Roychoudhury, Abhik
Published: (2025)
by: Roychoudhury, Abhik
Published: (2025)
AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection
by: Charoenwet, Wachiraphan, et al.
Published: (2026)
by: Charoenwet, Wachiraphan, et al.
Published: (2026)
Will AI replace Software Engineers? Do not hold your breath
by: Roychoudhury, Abhik, et al.
Published: (2025)
by: Roychoudhury, Abhik, et al.
Published: (2025)
AutoCodeRover: Autonomous Program Improvement
by: Zhang, Yuntong, et al.
Published: (2024)
by: Zhang, Yuntong, et al.
Published: (2024)
SpecRover: Code Intent Extraction via LLMs
by: Ruan, Haifeng, et al.
Published: (2024)
by: Ruan, Haifeng, et al.
Published: (2024)
AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report
by: Oliveira, Eduardo, et al.
Published: (2026)
by: Oliveira, Eduardo, et al.
Published: (2026)
Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
by: Chen, Simin, et al.
Published: (2025)
by: Chen, Simin, et al.
Published: (2025)
Context-Augmented Code Generation Using Programming Knowledge Graphs
by: Seddik, Shahd, et al.
Published: (2026)
by: Seddik, Shahd, et al.
Published: (2026)
Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
by: Chen, Simin, et al.
Published: (2025)
by: Chen, Simin, et al.
Published: (2025)
Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision
by: Lin, Hong Yi, et al.
Published: (2026)
by: Lin, Hong Yi, et al.
Published: (2026)
Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
by: Li, Yuangang, et al.
Published: (2026)
by: Li, Yuangang, et al.
Published: (2026)
EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages
by: Sharma, Aman, et al.
Published: (2026)
by: Sharma, Aman, et al.
Published: (2026)
Assessing Large Language Models for Automated Feedback Generation in Learning Programming Problem Solving
by: Silva, Priscylla, et al.
Published: (2025)
by: Silva, Priscylla, et al.
Published: (2025)
Accuracy, Stability, and Repeated-Run Reliability of Large Language Models on Deterministic Programming Tasks
by: Zhou, Yongxi, et al.
Published: (2026)
by: Zhou, Yongxi, et al.
Published: (2026)
Human-In-the-Loop Software Development Agents
by: Takerngsaksiri, Wannita, et al.
Published: (2024)
by: Takerngsaksiri, Wannita, et al.
Published: (2024)
Ethics Testing: Proactive Identification of Generative AI System Harms
by: Tan, Shin Hwei, et al.
Published: (2026)
by: Tan, Shin Hwei, et al.
Published: (2026)
Unified Software Engineering Agent as AI Software Engineer
by: Applis, Leonhard, et al.
Published: (2025)
by: Applis, Leonhard, et al.
Published: (2025)
HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation
by: Tantithamthavorn, Kla, et al.
Published: (2026)
by: Tantithamthavorn, Kla, et al.
Published: (2026)
Leveraging Reviewer Experience in Code Review Comment Generation
by: Lin, Hong Yi, et al.
Published: (2024)
by: Lin, Hong Yi, et al.
Published: (2024)
Code Ownership: The Principles, Differences, and Their Associations with Software Quality
by: Thongtanunam, Patanamon, et al.
Published: (2024)
by: Thongtanunam, Patanamon, et al.
Published: (2024)
Generating Streamlining Constraints with Large Language Models
by: Voboril, Florentina, et al.
Published: (2024)
by: Voboril, Florentina, et al.
Published: (2024)
Are Large Language Models Memorizing Bug Benchmarks?
by: Ramos, Daniel, et al.
Published: (2024)
by: Ramos, Daniel, et al.
Published: (2024)
Aligning the Objective of LLM-based Program Repair
by: Xu, Junjielong, et al.
Published: (2024)
by: Xu, Junjielong, et al.
Published: (2024)
Assessing the Impact of Code Changes on the Fault Localizability of Large Language Models
by: Haroon, Sabaat, et al.
Published: (2025)
by: Haroon, Sabaat, et al.
Published: (2025)
What Makes Code Generation Ethically Sourced?
by: Xu, Zhuolin, et al.
Published: (2025)
by: Xu, Zhuolin, et al.
Published: (2025)
Automatic Generation of Executable BPMN Models from Medical Guidelines
by: Sekar, Praveen Kumar Menaka, et al.
Published: (2026)
by: Sekar, Praveen Kumar Menaka, et al.
Published: (2026)
SWE-Spot: Building Small Repo-Experts with Repository-Centric Learning
by: Peng, Jinjun, et al.
Published: (2026)
by: Peng, Jinjun, et al.
Published: (2026)
The Impact of Fine-tuning Large Language Models on Automated Program Repair
by: Macháček, Roman, et al.
Published: (2025)
by: Macháček, Roman, et al.
Published: (2025)
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
by: Hong, Yang, et al.
Published: (2024)
by: Hong, Yang, et al.
Published: (2024)
Benchmarking Large Language Models with Integer Sequence Generation Tasks
by: O'Malley, Daniel, et al.
Published: (2024)
by: O'Malley, Daniel, et al.
Published: (2024)
Toward Explaining Large Language Models in Software Engineering Tasks
by: Vitale, Antonio, et al.
Published: (2025)
by: Vitale, Antonio, et al.
Published: (2025)
Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes
by: Liu, Jingxiong, et al.
Published: (2024)
by: Liu, Jingxiong, et al.
Published: (2024)
Effective Large Language Model Debugging with Best-first Tree Search
by: Song, Jialin, et al.
Published: (2024)
by: Song, Jialin, et al.
Published: (2024)
ProToken: Token-Level Attribution for Federated Large Language Models
by: Gill, Waris, et al.
Published: (2026)
by: Gill, Waris, et al.
Published: (2026)
Similar Items
-
Agentic AI Software Engineers: Programming with Trust
by: Roychoudhury, Abhik, et al.
Published: (2025) -
Assured Automatic Programming via Large Language Models
by: Mirchev, Martin, et al.
Published: (2024) -
Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification
by: Nguyen, Linh, et al.
Published: (2025) -
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks
by: Khant, Kyi Shin, et al.
Published: (2025) -
Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
by: Liu, Chunhua, et al.
Published: (2025)