Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution
Fuente:
arXiv
Saved in:
| Main Authors: | Ehsani, Ramtin, Pathak, Sakshi, Chatterjee, Preetha |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
What Characteristics Make ChatGPT Effective for Software Issue Resolution? An Empirical Study of Task, Project, and Conversational Signals in GitHub Issues
by: Ehsani, Ramtin, et al.
Published: (2025)
by: Ehsani, Ramtin, et al.
Published: (2025)
Hierarchical Knowledge Injection for Improving LLM-based Program Repair
by: Ehsani, Ramtin, et al.
Published: (2025)
by: Ehsani, Ramtin, et al.
Published: (2025)
Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory
by: Ehsani, Ramtin, et al.
Published: (2024)
by: Ehsani, Ramtin, et al.
Published: (2024)
Towards A Sustainable Future for Peer Review in Software Engineering
by: Parra, Esteban, et al.
Published: (2026)
by: Parra, Esteban, et al.
Published: (2026)
Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
by: Ehsani, Ramtin, et al.
Published: (2026)
by: Ehsani, Ramtin, et al.
Published: (2026)
Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
by: Ehsani, Ramtin, et al.
Published: (2024)
by: Ehsani, Ramtin, et al.
Published: (2024)
AI-Powered Commit Explorer (APCE)
by: Grees, Yousab, et al.
Published: (2025)
by: Grees, Yousab, et al.
Published: (2025)
Data Augmentation for Improving Emotion Recognition in Software Engineering Communication
by: Imran, Mia Mohammad, et al.
Published: (2022)
by: Imran, Mia Mohammad, et al.
Published: (2022)
How Safe Are AI-Generated Patches? A Large-scale Study on Security Risks in LLM and Agentic Automated Program Repair on SWE-bench
by: Sajadi, Amirali, et al.
Published: (2025)
by: Sajadi, Amirali, et al.
Published: (2025)
Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review
by: Sajadi, Amirali, et al.
Published: (2025)
by: Sajadi, Amirali, et al.
Published: (2025)
Evaluating and Improving Automated Repository-Level Rust Issue Resolution with LLM-based Agents
by: Xiang, Jiahong, et al.
Published: (2026)
by: Xiang, Jiahong, et al.
Published: (2026)
Understanding and Predicting Derailment in Toxic Conversations on GitHub
by: Imran, Mia Mohammad, et al.
Published: (2025)
by: Imran, Mia Mohammad, et al.
Published: (2025)
Compressing Code Context for LLM-based Issue Resolution
by: Jia, Haoxiang, et al.
Published: (2026)
by: Jia, Haoxiang, et al.
Published: (2026)
Bridging Solidity Evolution Gaps: An LLM-Enhanced Approach for Smart Contract Compilation Error Resolution
by: Ye, Likai, et al.
Published: (2025)
by: Ye, Likai, et al.
Published: (2025)
Towards Bridging Language Gaps in OSS with LLM-Driven Documentation Translation
by: Adejumo, Elijah Kayode, et al.
Published: (2025)
by: Adejumo, Elijah Kayode, et al.
Published: (2025)
REAgent: Requirement-Driven LLM Agents for Software Issue Resolution
by: Kuang, Shiqi, et al.
Published: (2026)
by: Kuang, Shiqi, et al.
Published: (2026)
Enhancing User Interaction in ChatGPT: Characterizing and Consolidating Multiple Prompts for Issue Resolution
by: Mondal, Saikat, et al.
Published: (2024)
by: Mondal, Saikat, et al.
Published: (2024)
Towards an Interpretable Analysis for Estimating the Resolution Time of Software Issues
by: Nastos, Dimitrios-Nikitas, et al.
Published: (2025)
by: Nastos, Dimitrios-Nikitas, et al.
Published: (2025)
Lingxi: Repository-Level Issue Resolution Framework Enhanced by Procedural Knowledge Guided Scaling
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
Beyond the Prompt: Assessing Domain Knowledge Strategies for High-Dimensional LLM Optimization in Software Engineering
by: Srinivasan, Srinath, et al.
Published: (2026)
by: Srinivasan, Srinath, et al.
Published: (2026)
When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation
by: AKLI, Amal, et al.
Published: (2026)
by: AKLI, Amal, et al.
Published: (2026)
Toward Improved Deep Learning-based Vulnerability Detection
by: Sejfia, Adriana, et al.
Published: (2024)
by: Sejfia, Adriana, et al.
Published: (2024)
VulnResolver: A Hybrid Agent Framework for LLM-Based Automated Vulnerability Issue Resolution
by: Zhang, Mingming, et al.
Published: (2026)
by: Zhang, Mingming, et al.
Published: (2026)
LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
by: Ye, Jingwei, et al.
Published: (2025)
by: Ye, Jingwei, et al.
Published: (2025)
From Bias To Improved Prompts: A Case Study of Bias Mitigation of Clone Detection Models
by: Chen, QiHong, et al.
Published: (2025)
by: Chen, QiHong, et al.
Published: (2025)
MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution
by: Wang, Yibo, et al.
Published: (2025)
by: Wang, Yibo, et al.
Published: (2025)
Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions
by: Sajadi, Amirali, et al.
Published: (2025)
by: Sajadi, Amirali, et al.
Published: (2025)
Toxicity Ahead: Forecasting Conversational Derailment on GitHub
by: Imran, Mia Mohammad, et al.
Published: (2025)
by: Imran, Mia Mohammad, et al.
Published: (2025)
Studying and Automating Issue Resolution for Software Quality
by: Saha, Antu
Published: (2025)
by: Saha, Antu
Published: (2025)
Improving LLM-Based Go Code Review through Issue-List Generation and Context Augmentation
by: Sun, Kexin, et al.
Published: (2026)
by: Sun, Kexin, et al.
Published: (2026)
Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair
by: Cai, Xuemeng, et al.
Published: (2025)
by: Cai, Xuemeng, et al.
Published: (2025)
The Readability Spectrum: Patterns, Issues, and Prompt Effects in LLM-Generated Code
by: Ye, Hengzhi, et al.
Published: (2026)
by: Ye, Hengzhi, et al.
Published: (2026)
4D-ARE: Bridging the Attribution Gap in LLM Agent Requirements Engineering
by: Yu, Bo, et al.
Published: (2026)
by: Yu, Bo, et al.
Published: (2026)
GraphLocator: Graph-guided Causal Reasoning for Issue Localization
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Toward Inclusive Low-Code Development: Detecting Accessibility Issues in User Reviews
by: Mohammadkhani, Mohammadali, et al.
Published: (2025)
by: Mohammadkhani, Mohammadali, et al.
Published: (2025)
Build Issue Resolution from the Perspective of Non-Contributors
by: Huang, Sunzhou, et al.
Published: (2024)
by: Huang, Sunzhou, et al.
Published: (2024)
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
by: Tao, Wei, et al.
Published: (2024)
by: Tao, Wei, et al.
Published: (2024)
ProofWright: Towards Agentic Formal Verification of CUDA
by: Chatterjee, Bodhisatwa, et al.
Published: (2025)
by: Chatterjee, Bodhisatwa, et al.
Published: (2025)
Prompt Optimization for LLM Code Generation via Reinforcement Learning
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)
Are Prompts All You Need? Evaluating Prompt-Based Large Language Models (LLM)s for Software Requirements Classification
by: Binkhonain, Manal, et al.
Published: (2025)
by: Binkhonain, Manal, et al.
Published: (2025)
Similar Items
-
What Characteristics Make ChatGPT Effective for Software Issue Resolution? An Empirical Study of Task, Project, and Conversational Signals in GitHub Issues
by: Ehsani, Ramtin, et al.
Published: (2025) -
Hierarchical Knowledge Injection for Improving LLM-based Program Repair
by: Ehsani, Ramtin, et al.
Published: (2025) -
Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory
by: Ehsani, Ramtin, et al.
Published: (2024) -
Towards A Sustainable Future for Peer Review in Software Engineering
by: Parra, Esteban, et al.
Published: (2026) -
Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
by: Ehsani, Ramtin, et al.
Published: (2026)