:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Xia, Kim, Allen
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2503.07927
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification
by: Haider, Md Akib, et al.
Published: (2026)

LoRACode: LoRA Adapters for Code Embeddings
by: Chaturvedi, Saumya, et al.
Published: (2025)

An empirical study of LoRA-based fine-tuning of large language models for automated test case generation
by: Moradi, Milad, et al.
Published: (2026)

AutoAssert 1: A LoRA Fine-Tuned LLM Model for Efficient Automated Assertion Generation
by: Zhong, Yi, et al.
Published: (2025)

A Framework for Devising, Evaluating and Fine-tuning Indoor Tracking Algorithms
by: Diallo, Alpha, et al.
Published: (2025)

Does the Order of Fine-tuning Matter and Why?
by: Chen, Qihong, et al.
Published: (2024)

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry
by: Wang, Chaozheng, et al.
Published: (2025)

A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing
by: Shang, Ye, et al.
Published: (2024)

RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
by: Lin, Feng, et al.
Published: (2025)

Benchmarking Requirement-to-Architecture Generation with Hybrid Evaluation
by: Li, Minxiao, et al.
Published: (2026)

Relating Complexity, Explicitness, Effectiveness of Refactorings and Non-Functional Requirements: A Replication Study
by: Soares, Vinícius, et al.
Published: (2025)

Multi-Label Requirements Classification with Large Taxonomies
by: Abdeen, Waleed, et al.
Published: (2024)

From Online User Feedback to Requirements: Evaluating Large Language Models for Classification and Specification Tasks
by: Mallya, Manjeshwar Aniruddh, et al.
Published: (2025)

An Empirical Study on LLM-based Classification of Requirements-related Provisions in Food-safety Regulations
by: Hassani, Shabnam, et al.
Published: (2025)

Classification, Challenges, and Automated Approaches to Handle Non-Functional Requirements in ML-Enabled Systems: A Systematic Literature Review
by: De Martino, Vincenzo, et al.
Published: (2023)

Are Prompts All You Need? Evaluating Prompt-Based Large Language Models (LLM)s for Software Requirements Classification
by: Binkhonain, Manal, et al.
Published: (2025)

Improving Code Search with Hard Negative Sampling Based on Fine-tuning
by: Dong, Hande, et al.
Published: (2023)

Contract Based Verification of Non-functional Requirements for Embedded Automotive C Code
by: Amilon, Jesper, et al.
Published: (2026)

Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data
by: Liu, Yang, et al.
Published: (2026)

The Appeal and Reality of Recycling LoRAs with Adaptive Merging
by: Liu, Haokun, et al.
Published: (2026)

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability
by: Vogelsang, Andreas, et al.
Published: (2025)

MRG-Bench: Evaluating and Exploring the Requirements of Context for Repository-Level Code Generation
by: Li, Haiyang
Published: (2025)

MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning
by: Yang, Boyang, et al.
Published: (2024)

Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification
by: Peña, Fabian C., et al.
Published: (2025)

RITA: A Tool for Automated Requirements Classification and Specification from Online User Feedback
by: Mallya, Manjeshwar Aniruddh, et al.
Published: (2026)

How Effective are Generative Large Language Models in Performing Requirements Classification?
by: Alhoshan, Waad, et al.
Published: (2025)

Auxiliary Artifacts in Requirements Traceability: A Systematic Mapping Study
by: Abdeen, Waleed, et al.
Published: (2025)

Domain Knowledge in Requirements Engineering: A Systematic Mapping Study
by: Araújo, Marina, et al.
Published: (2025)

Classifier or Prompt: A Case Study on Legal Requirements Traceability
by: Etezadi, Romina, et al.
Published: (2025)

Requirements Elicitation in Government Projects: A Preliminary Empirical Study
by: Ren, Anqi, et al.
Published: (2024)

ReqElicitGym: An Evaluation Environment for Interview Competence in Conversational Requirements Elicitation
by: Jin, Dongming, et al.
Published: (2026)

ReXCL: A Tool for Requirement Document Extraction and Classification
by: Bhattacharya, Paheli, et al.
Published: (2025)

APPT: Boosting Automated Patch Correctness Prediction via Fine-tuning Pre-trained Models
by: Zhang, Quanjun, et al.
Published: (2023)

An Evaluation of Requirements Modeling for Cyber-Physical Systems via LLMs
by: Jin, Dongming, et al.
Published: (2024)

Supporting Stakeholder Requirements Expression with LLM Revisions: An Empirical Evaluation
by: Mircea, Michael, et al.
Published: (2026)

What Does Explainable AI Mean in Practice? Evaluative Requirements from a Longitudinal Clinical Case Study
by: Sporsem, Tor, et al.
Published: (2025)

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance
by: Tan, Jingwen, et al.
Published: (2024)

Deriving and Validating Requirements Engineering Principles for Large-Scale Agile Development: An Industrial Longitudinal Study
by: Saeeda, Hina, et al.
Published: (2026)

Defining Requirements Strategies in Agile: A Design Science Research Study
by: Muhammad, Amna Pir, et al.
Published: (2024)

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