Cover Image

Localized Calibrated Uncertainty in Code Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gros, David, Devanbu, Prem
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

On LLMs' Internal Representation of Code Correctness
by: Ribeiro, Francisco, 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)

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

How Robustly do LLMs Understand Execution Semantics?
by: Spiess, Claudio, et al.
Published: (2026)

Calibration and Correctness of Language Models for Code
by: Spiess, Claudio, et al.
Published: (2024)

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
by: Bouzenia, Islem, et al.
Published: (2024)

Calibration of Large Language Models on Code Summarization
by: Virk, Yuvraj, et al.
Published: (2024)

Ecosystem of Large Language Models for Code
by: Yang, Zhou, et al.
Published: (2024)

SafeGround: Know When to Trust GUI Grounding Models via Uncertainty Calibration
by: Wang, Qingni, et al.
Published: (2026)

Uncertainty Quantification for LLM-based Code Generation
by: Xu, Senrong, et al.
Published: (2026)

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision
by: Lin, Hong Yi, et al.
Published: (2026)

CodeFlowLM: Incremental Just-In-Time Defect Prediction with Pretrained Language Models and Exploratory Insights into Defect Localization
by: Monteiro, Monique Louise, et al.
Published: (2025)

Selecting and Combining Large Language Models for Scalable Code Clone Detection
by: Chochlov, Muslim, et al.
Published: (2025)

Towards Understanding What Code Language Models Learned
by: Ahmed, Toufique, et al.
Published: (2023)

Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)

Understanding Defects in Generated Codes by Language Models
by: Esfahani, Ali Mohammadi, et al.
Published: (2024)

Looking into Black Box Code Language Models
by: Haider, Muhammad Umair, et al.
Published: (2024)

WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models
by: Lei, Xinping, et al.
Published: (2026)

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
by: Chen, Yujia, et al.
Published: (2026)

Neurosymbolic Repo-level Code Localization
by: Xu, Xiufeng, et al.
Published: (2026)

A Benchmark for Localizing Code and Non-Code Issues in Software Projects
by: Zhang, Zejun, et al.
Published: (2025)

Fine-Tuning Code Language Models to Detect Cross-Language Bugs
by: Li, Zengyang, et al.
Published: (2025)

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
by: Abtahi, Seyed Moein, et al.
Published: (2025)

GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024)

How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study
by: Velasco, Alejandro, et al.
Published: (2024)

Task Abstention for Large Language Models in Code Generation
by: Zhou, Yanke, et al.
Published: (2026)

CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
by: Padwal, Vedant
Published: (2026)

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)

Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)

Large Language Model Guided Self-Debugging Code Generation
by: Adnan, Muntasir, et al.
Published: (2025)

Devstral: Fine-tuning Language Models for Coding Agent Applications
by: Rastogi, Abhinav, et al.
Published: (2025)

Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)

Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)

Assessing the Code Clone Detection Capability of Large Language Models
by: Zhang, Zixian, et al.
Published: (2024)

Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
by: Li, Jiliang, et al.
Published: (2024)

I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
by: Choi, Soohyeon, et al.
Published: (2025)

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
by: Xiong, Zhanhang, et al.
Published: (2025)

Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code
by: Carissimi, Michele, et al.
Published: (2025)

Large Language Model-Driven Code Compliance Checking in Building Information Modeling
by: Madireddy, Soumya, et al.
Published: (2025)