Cover Image

Can Large Language Models Improve SE Active Learning via Warm-Starts?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Senthilkumar, Lohith, Menzies, Tim
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Brittle to Robust: Improving LLM Annotations for SE Optimization
by: Senthilkumar, Lohith, et al.
Published: (2026)

How Low Can You Go? The Data-Light SE Challenge
by: Ganguly, Kishan Kumar, et al.
Published: (2025)

Less Noise, More Signal: DRR for Better Optimizations of SE Tasks
by: Lustosa, Andre, et al.
Published: (2025)

Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors
by: Menzies, Tim
Published: (2025)

Can Causality Cure Confusion Caused By Correlation (in Software Analytics)?
by: Rayegan, Amirali, et al.
Published: (2026)

Smart Cuts: Enhance Active Learning for Vulnerability Detection by Pruning Hard-to-Learn Data
by: Lan, Xiang, et al.
Published: (2025)

Streamlining Software Reviews: Efficient Predictive Modeling with Minimal Examples
by: Menzies, Tim, et al.
Published: (2024)

iSNEAK: Partial Ordering as Heuristics for Model-Based Reasoning in Software Engineering
by: Lustosa, Andre, et al.
Published: (2023)

Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization
by: Rayegan, Amirali, 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)

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets
by: Ganguly, Kishan Kumar, et al.
Published: (2025)

Zoom, Don't Wander: Why Regional Search Outperforms Pareto Reasoning and Global Optimization in Budget-Constrained SBSE
by: Ganguly, Kishan Kumar, et al.
Published: (2026)

From Verification to Herding: Exploiting Software's Sparsity of Influence
by: Menzies, Tim, et al.
Published: (2026)

Revisiting Process versus Product Metrics: a Large Scale Analysis
by: Majumder, Suvodeep, et al.
Published: (2020)

SE Journals in 2036: Looking Back at the Future We Need to Have
by: Menzies, Tim, et al.
Published: (2026)

Is Hyper-Parameter Optimization Different for Software Analytics?
by: Yedida, Rahul, et al.
Published: (2024)

Shaky Structures: The Wobbly World of Causal Graphs in Software Analytics
by: Hulse, Jeremy, et al.
Published: (2025)

SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning
by: Yang, Xueqi, et al.
Published: (2023)

When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
by: Majumder, Suvodeep, et al.
Published: (2022)

Can Large Language Models Model Programs Formally?
by: Chen, Zhiyong, et al.
Published: (2026)

Can Large Language Models Generate Geospatial Code?
by: Hou, Shuyang, et al.
Published: (2024)

SmartOracle -- An Agentic Approach to Mitigate Noise in Differential Oracles
by: Srinivasan, Srinath, et al.
Published: (2026)

From Coverage to Causes: Data-Centric Fuzzing for JavaScript Engines
by: Ganguly, Kishan Kumar, et al.
Published: (2025)

Can Large Language Models Serve as Evaluators for Code Summarization?
by: Wu, Yang, et al.
Published: (2024)

500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow)
by: Majumder, Suvodeep, et al.
Published: (2018)

Software Engineering Principles for Fairer Systems: Experiments with GroupCART
by: Peng, Kewen, et al.
Published: (2025)

Can Large Language Models Solve Path Constraints in Symbolic Execution?
by: Wang, Wenhan, et al.
Published: (2025)

Can Large Language Models Write Good Property-Based Tests?
by: Vikram, Vasudev, et al.
Published: (2023)

Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior?
by: Meymani, Mohammad, et al.
Published: (2025)

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

Improving the Ability of Pre-trained Language Model by Imparting Large Language Model's Experience
by: Yin, Xin, et al.
Published: (2024)

Can Large Language Models Assist the Comprehension of ROS2 Software Architectures?
by: Duits, Laura, et al.
Published: (2026)

Improving Compiler Bug Isolation by Leveraging Large Language Models
by: Qi, Yixian, et al.
Published: (2025)

Ever-Improving Test Suite by Leveraging Large Language Models
by: Qiu, Ketai
Published: (2025)

Leveraging Large Language Models to Improve REST API Testing
by: Kim, Myeongsoo, et al.
Published: (2023)

Automated Testing of the GUI of a Real-Life Engineering Software using Large Language Models
by: Rosenbach, Tim, et al.
Published: (2025)

Can Large Language Models Detect Real-World Android Software Compliance Violations?
by: Zhang, Haoyi, et al.
Published: (2025)

Improving the Readability of Automatically Generated Tests using Large Language Models
by: Biagiola, Matteo, et al.
Published: (2024)

Improving Requirements Completeness: Automated Assistance through Large Language Models
by: Luitel, Dipeeka, et al.
Published: (2023)

Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning
by: Zhao, Junjie, et al.
Published: (2023)