Cover Image

Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fathollahzadeh, Pouya, Mezouar, Mariam El, Li, Hao, Zou, Ying, Hassan, Ahmed E.
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support
by: Lei, Fangjian, et al.
Published: (2025)

Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement
by: Gallaba, Keheliya, et al.
Published: (2025)

Is this Build Failure Related to my Patch? An Empirical Study of Unrelated Build Failures in Continuous Integration
by: Huang, Andie, et al.
Published: (2026)

An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues
by: Hao, Huizi, et al.
Published: (2024)

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality
by: Zhong, Suzhen, et al.
Published: (2025)

Who's Who? LLM-assisted Software Traceability with Architecture Entity Recognition
by: Fuchß, Dominik, et al.
Published: (2025)

Future of Artificial Intelligence in Agile Software Development
by: Mahboob, Mariyam, et al.
Published: (2024)

Exploring Challenges in Test Mocking: Developer Questions and Insights from StackOverflow
by: Ahmed, Mumtahina, et al.
Published: (2025)

Towards Bridging Language Gaps in OSS with LLM-Driven Documentation Translation
by: Adejumo, Elijah Kayode, et al.
Published: (2025)

Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-Task Learning
by: Zhang, Xiaoling, et al.
Published: (2024)

At What Cost? Software Developers' Well-Being in the Age of GenAI
by: Guizani, Mariam, et al.
Published: (2026)

Empowering Enterprise Development by Building and Deploying Admin Dashboard using Refine Framework
by: Gajjala, Sai Teja, et al.
Published: (2024)

LLM-Cure: LLM-based Competitor User Review Analysis for Feature Enhancement
by: Assi, Maram, et al.
Published: (2024)

Enhancing Software Maintenance: A Learning to Rank Approach for Co-changed Method Identification
by: Jia, Yiping, et al.
Published: (2024)

Review of Tools for Zero-Code LLM Based Application Development
by: Pattnayak, Priyaranjan, 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)

Context-Aware CodeLLM Eviction for AI-assisted Coding
by: Thangarajah, Kishanthan, et al.
Published: (2025)

DevGPT: Studying Developer-ChatGPT Conversations
by: Xiao, Tao, et al.
Published: (2023)

SBOM Challenges for Developers: From Analysis of Stack Overflow Questions
by: Otoda, Wataru, et al.
Published: (2025)

Developing a Llama-Based Chatbot for CI/CD Question Answering: A Case Study at Ericsson
by: Chaudhary, Daksh, et al.
Published: (2024)

Personalizing LLM-Based Conversational Programming Assistants
by: Richards, Jonan
Published: (2026)

The Impact of LLM-Assistants on Software Developer Productivity: A Systematic Review and Mapping Study
by: Mohamed, Amr, et al.
Published: (2025)

Adaptive Request Scheduling for CodeLLM Serving with SLA Guarantees
by: Chang, Shi, et al.
Published: (2025)

Energy-Efficient Software Development: A Multi-dimensional Empirical Analysis of Stack Overflow
by: Jin, Bihui, et al.
Published: (2024)

Characterizing Multi-Hunk Patches: Divergence, Proximity, and LLM Repair Challenges
by: Nashid, Noor, et al.
Published: (2025)

Adoption and Adaptation of CI/CD Practices in Very Small Software Development Entities: A Systematic Literature Review
by: Ccallo, Mario, et al.
Published: (2024)

An Empirical Study on Challenges for LLM Application Developers
by: Chen, Xiang, et al.
Published: (2024)

On the Effect of Token Merging on Pre-trained Models for Code
by: Saad, Mootez, et al.
Published: (2025)

AgenticSZZ: Temporal Knowledge Graph-Guided Agentic Bug-Inducing Commit Identification
by: Shi, Yu, et al.
Published: (2026)

Can We Recycle Our Old Models? An Empirical Evaluation of Model Selection Mechanisms for AIOps Solutions
by: Lyu, Yingzhe, et al.
Published: (2025)

CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement
by: Zhang, Yueke, et al.
Published: (2025)

Studying and Understanding the Effectiveness and Failures of Conversational LLM-Based Repair
by: Chen, Aolin, et al.
Published: (2025)

How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
by: AlOmar, Eman Abdullah, et al.
Published: (2024)

Towards Green AI: Decoding the Energy of LLM Inference in Software Development
by: Solovyeva, Lola, et al.
Published: (2026)

2HCDL: Holistic Human-Centered Development Lifecycle
by: Daoudagh, Said, et al.
Published: (2024)

Compiler.next: A Search-Based Compiler to Power the AI-Native Future of Software Engineering
by: Cogo, Filipe R., et al.
Published: (2025)

Do AI Coding Agents Log Like Humans? An Empirical Study
by: Ouatiti, Youssef Esseddiq, et al.
Published: (2026)

Towards LLM-Based Automatic Playtest
by: Zhao, Yan, et al.
Published: (2025)

Exploring Accessibility Trends and Challenges in Mobile App Development: A Study of Stack Overflow Questions
by: Indika, Amila, et al.
Published: (2024)

From Commits to Confidence: Towards Stability-Informed Risk Assessment in Open Source Software
by: Adejumo, Elijah Kayode, et al.
Published: (2025)