Cover Image

LeDex: Training LLMs to Better Self-Debug and Explain Code

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Nan, Li, Xiaopeng, Wang, Shiqi, Zhou, Qiang, Hossain, Soneya Binta, Ray, Baishakhi, Kumar, Varun, Ma, Xiaofei, Deoras, Anoop
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
by: Kim, Myeongsoo, et al.
Published: (2025)

TOGLL: Correct and Strong Test Oracle Generation with LLMs
by: Hossain, Soneya Binta, et al.
Published: (2024)

PITMuS: A Tool for Automated Bug Dataset Generation via Source-Level Mutant Reconstruction
by: Tasnim, Tasfia, et al.
Published: (2026)

From Threads to Trajectories: A Multi-LLM Pipeline for Community Knowledge Extraction from GitHub Issue Discussions
by: Joynab, Nazia Shehnaz, et al.
Published: (2026)

CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024)

UTFix: Change Aware Unit Test Repairing using LLM
by: Rahman, Shanto, et al.
Published: (2025)

Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation
by: Hossain, Soneya Binta, et al.
Published: (2024)

Measuring LLM Trust Allocation Across Conflicting Software Artifacts
by: Ulfat, Noshin, et al.
Published: (2026)

A Deep Dive into Large Language Models for Automated Bug Localization and Repair
by: Hossain, Soneya Binta, et al.
Published: (2024)

LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation
by: Kuhar, Sachit, et al.
Published: (2024)

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
by: Ryan, Gabriel, et al.
Published: (2024)

CYCLE: Learning to Self-Refine the Code Generation
by: Ding, Yangruibo, et al.
Published: (2024)

SpecTra: Enhancing the Code Translation Ability of Language Models by Generating Multi-Modal Specifications
by: Nitin, Vikram, et al.
Published: (2024)

Structural Code Search using Natural Language Queries
by: Limpanukorn, Ben, et al.
Published: (2025)

The Debugging Decay Index: Rethinking Debugging Strategies for Code LLMs
by: Adnan, Muntasir, et al.
Published: (2025)

Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code
by: Kim, Myeongsoo, et al.
Published: (2026)

Better Debugging: Combining Static Analysis and LLMs for Explainable Crashing Fault Localization
by: Yan, Jiwei, et al.
Published: (2024)

Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
by: Chen, Simin, et al.
Published: (2025)

DePro: Understanding the Role of LLMs in Debugging Competitive Programming Code
by: Parvez, Nabiha, et al.
Published: (2026)

Revisit Self-Debugging with Self-Generated Tests for Code Generation
by: Chen, Xiancai, et al.
Published: (2025)

SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
by: Ding, Yangruibo, et al.
Published: (2024)

Toward a Better Understanding of Probabilistic Delta Debugging
by: Zhang, Mengxiao, et al.
Published: (2024)

CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
by: Roy, Monoshi Kumar, et al.
Published: (2025)

MigrationBench: Repository-Level Code Migration Benchmark from Java 8
by: Liu, Linbo, et al.
Published: (2025)

Code Quality Analysis of Translations from C to Rust
by: Tadesse, Biruk, et al.
Published: (2026)

FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents
by: Nitin, Vikram, et al.
Published: (2025)

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

TerraFormer: Automated Infrastructure-as-Code with LLMs Fine-Tuned via Policy-Guided Verifier Feedback
by: Jana, Prithwish, et al.
Published: (2026)

Automated Code Editing with Search-Generate-Modify
by: Liu, Changshu, et al.
Published: (2023)

EditLord: Learning Code Transformation Rules for Code Editing
by: Li, Weichen, et al.
Published: (2025)

CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
by: Peng, Jinjun, et al.
Published: (2025)

Trustworthy AI Software Engineers
by: Aleti, Aldeida, et al.
Published: (2026)

Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities
by: Chen, Simin, et al.
Published: (2025)

Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language
by: Nitin, Vikram, et al.
Published: (2023)

Code Reasoning for Software Engineering Tasks: A Survey and A Call to Action
by: Pujar, Saurabh, et al.
Published: (2025)

DebugRepair: Enhancing LLM-Based Automated Program Repair via Self-Directed Debugging
by: Wu, Linhao, et al.
Published: (2026)

AtPatch: Debugging Transformers via Hot-Fixing Over-Attention
by: Weng, Shihao, et al.
Published: (2026)

COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
by: Yang, Weiqing, et al.
Published: (2024)

Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
by: Garg, Spandan, et al.
Published: (2026)

Guided Debugging of Auto-Translated Code Using Differential Testing
by: Wu, Shengnan, et al.
Published: (2025)