Saved in:
| Main Authors: | Nainani, Jatin, Ho, Chia-Tung, Dhurka, Anirudh, Ren, Haoxing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.11502 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
by: Grishina, Anastasiia, et al.
Published: (2025)
by: Grishina, Anastasiia, et al.
Published: (2025)
Learning to Debug: LLM-Organized Knowledge Trees for Solving RTL Assertion Failures
by: Bai, Yunsheng, et al.
Published: (2025)
by: Bai, Yunsheng, et al.
Published: (2025)
Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis
by: Xiang, Jiahong, et al.
Published: (2026)
by: Xiang, Jiahong, et al.
Published: (2026)
FedDebug: Systematic Debugging for Federated Learning Applications
by: Gill, Waris, et al.
Published: (2023)
by: Gill, Waris, et al.
Published: (2023)
Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
by: Hu, Boyue Caroline, et al.
Published: (2025)
by: Hu, Boyue Caroline, et al.
Published: (2025)
DebugHarness: Emulating Human Dynamic Debugging for Autonomous Program Repair
by: Sun, Maolin, et al.
Published: (2026)
by: Sun, Maolin, et al.
Published: (2026)
Towards Counterfactual Explanation and Assertion Inference for CPS Debugging
by: Ghazal, Zaid, et al.
Published: (2026)
by: Ghazal, Zaid, et al.
Published: (2026)
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
by: Bouchoucha, Rached, et al.
Published: (2024)
by: Bouchoucha, Rached, et al.
Published: (2024)
Debugging code world models
by: Rahmani, Babak
Published: (2026)
by: Rahmani, Babak
Published: (2026)
Learning to Generate Unit Tests for Automated Debugging
by: Prasad, Archiki, et al.
Published: (2025)
by: Prasad, Archiki, et al.
Published: (2025)
Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging
by: Feng, Siyuan, et al.
Published: (2024)
by: Feng, Siyuan, et al.
Published: (2024)
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
by: Dibia, Victor, et al.
Published: (2024)
by: Dibia, Victor, 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)
DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education
by: Fu, Lingyue, et al.
Published: (2025)
by: Fu, Lingyue, et al.
Published: (2025)
ChatDBG: Augmenting Debugging with Large Language Models
by: Levin, Kyla H., et al.
Published: (2024)
by: Levin, Kyla H., et al.
Published: (2024)
Enhancing Debugging Skills with AI-Powered Assistance: A Real-Time Tool for Debugging Support
by: Artser, Elizaveta, et al.
Published: (2026)
by: Artser, Elizaveta, et al.
Published: (2026)
RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models
by: Liu, Jingjing, et al.
Published: (2025)
by: Liu, Jingjing, et al.
Published: (2025)
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging
by: Lee, Cheryl, et al.
Published: (2024)
by: Lee, Cheryl, et al.
Published: (2024)
FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software
by: Yu, Normen, et al.
Published: (2024)
by: Yu, Normen, et al.
Published: (2024)
CircInspect: Integrating Visual Circuit Analysis, Abstraction, and Real-Time Development in Quantum Debugging
by: Khan, Mushahid, et al.
Published: (2025)
by: Khan, Mushahid, et al.
Published: (2025)
ProDebug: An Automated Debugging System for Prolog
by: Brancas, Ricardo, et al.
Published: (2026)
by: Brancas, Ricardo, et al.
Published: (2026)
LLM as an Execution Estimator: Recovering Missing Dependency for Practical Time-travelling Debugging
by: Pei, Yunrui, et al.
Published: (2025)
by: Pei, Yunrui, et al.
Published: (2025)
Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning
by: Tsai, Yun-Da, et al.
Published: (2024)
by: Tsai, Yun-Da, et al.
Published: (2024)
Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?
by: Zhu, Wang Bill, et al.
Published: (2026)
by: Zhu, Wang Bill, et al.
Published: (2026)
Simulated Interactive Debugging
by: Noller, Yannic, et al.
Published: (2025)
by: Noller, Yannic, et al.
Published: (2025)
Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
by: Garg, Spandan, et al.
Published: (2026)
by: Garg, Spandan, et al.
Published: (2026)
Towards Adaptive Software Agents for Debugging
by: Majdoub, Yacine, et al.
Published: (2025)
by: Majdoub, Yacine, et al.
Published: (2025)
The Debugging Decay Index: Rethinking Debugging Strategies for Code LLMs
by: Adnan, Muntasir, et al.
Published: (2025)
by: Adnan, Muntasir, et al.
Published: (2025)
A Systematic Mapping Study on the Debugging of Autonomous Driving Systems
by: Shaw, Nathan, et al.
Published: (2026)
by: Shaw, Nathan, et al.
Published: (2026)
Agent That Debugs: Dynamic State-Guided Vulnerability Repair
by: Liu, Zhengyao, et al.
Published: (2025)
by: Liu, Zhengyao, et al.
Published: (2025)
DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
by: Ma, Ming, et al.
Published: (2025)
by: Ma, Ming, et al.
Published: (2025)
JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation
by: Pasandi, Ghasem, et al.
Published: (2025)
by: Pasandi, Ghasem, et al.
Published: (2025)
DebugRepair: Enhancing LLM-Based Automated Program Repair via Self-Directed Debugging
by: Wu, Linhao, et al.
Published: (2026)
by: Wu, Linhao, et al.
Published: (2026)
AgentStepper: Interactive Debugging of Software Development Agents
by: Hutter, Robert, et al.
Published: (2026)
by: Hutter, Robert, et al.
Published: (2026)
DebugBench: Evaluating Debugging Capability of Large Language Models
by: Tian, Runchu, et al.
Published: (2024)
by: Tian, Runchu, et al.
Published: (2024)
Online and Interactive Bayesian Inference Debugging
by: Nussbaumer, Nathanael, et al.
Published: (2025)
by: Nussbaumer, Nathanael, et al.
Published: (2025)
Validity-Preserving Delta Debugging via Generator Trace Reduction
by: Ren, Luyao, et al.
Published: (2024)
by: Ren, Luyao, et al.
Published: (2024)
WDD: Weighted Delta Debugging
by: Zhou, Xintong, et al.
Published: (2024)
by: Zhou, Xintong, et al.
Published: (2024)
CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging
by: Li, Shiyang, et al.
Published: (2026)
by: Li, Shiyang, et al.
Published: (2026)
MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios
by: Huang, Jinyang, et al.
Published: (2025)
by: Huang, Jinyang, et al.
Published: (2025)
Similar Items
-
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
by: Grishina, Anastasiia, et al.
Published: (2025) -
Learning to Debug: LLM-Organized Knowledge Trees for Solving RTL Assertion Failures
by: Bai, Yunsheng, et al.
Published: (2025) -
Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis
by: Xiang, Jiahong, et al.
Published: (2026) -
FedDebug: Systematic Debugging for Federated Learning Applications
by: Gill, Waris, et al.
Published: (2023) -
Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
by: Hu, Boyue Caroline, et al.
Published: (2025)