Comparative Separation: Evaluating Separation on Comparative Judgment Test Data
Fuente:
arXiv
Saved in:
| Main Authors: | Xi, Xiaoyin, Capak, Neeku, Stockwell, Kate, Yu, Zhe |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Story Point Estimation With Comparative Learning
by: Khan, Monoshiz Mahbub, et al.
Published: (2025)
by: Khan, Monoshiz Mahbub, et al.
Published: (2025)
Comparative Analysis of AWS Model Deployment Services
by: Bagai, Rahul
Published: (2024)
by: Bagai, Rahul
Published: (2024)
Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling
by: Jiao, Yizhu, et al.
Published: (2026)
by: Jiao, Yizhu, et al.
Published: (2026)
Data Augmentation for Code Translation with Comparable Corpora and Multiple References
by: Xie, Yiqing, et al.
Published: (2023)
by: Xie, Yiqing, et al.
Published: (2023)
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
by: Nadim, Md, et al.
Published: (2025)
by: Nadim, Md, et al.
Published: (2025)
From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing
by: Liang, Linfeng, et al.
Published: (2026)
by: Liang, Linfeng, et al.
Published: (2026)
RM -RF: Reward Model for Run-Free Unit Test Evaluation
by: Bruches, Elena, et al.
Published: (2026)
by: Bruches, Elena, et al.
Published: (2026)
Influence-Guided Concolic Testing of Transformer Robustness
by: Hong, Chih-Duo, et al.
Published: (2025)
by: Hong, Chih-Duo, et al.
Published: (2025)
PrismaDV: Automated Task-Aware Data Unit Test Generation
by: Chen, Hao, et al.
Published: (2026)
by: Chen, Hao, et al.
Published: (2026)
Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests
by: Shihab, Ibne Farabi, et al.
Published: (2025)
by: Shihab, Ibne Farabi, et al.
Published: (2025)
Adaptive Reinforcement Learning for Dynamic Configuration Allocation in Pre-Production Testing
by: Zhu, Yu
Published: (2025)
by: Zhu, Yu
Published: (2025)
Concolic Testing on Individual Fairness of Neural Network Models
by: Huang, Ming-I, et al.
Published: (2025)
by: Huang, Ming-I, et al.
Published: (2025)
FairReweighing: Density Estimation-Based Reweighing Framework for Improving Separation in Fair Regression
by: Xi, Xiaoyin, et al.
Published: (2025)
by: Xi, Xiaoyin, et al.
Published: (2025)
Enhancing LLM-Based Test Generation by Eliminating Covered Code
by: Xu, WeiZhe, et al.
Published: (2026)
by: Xu, WeiZhe, et al.
Published: (2026)
REFLEX: Reference-Free Evaluation of Log Summarization via Large Language Model Judgment
by: Mudgal, Priyanka
Published: (2025)
by: Mudgal, Priyanka
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)
Investigating Test Overfitting on SWE-bench
by: Ahmed, Toufique, et al.
Published: (2025)
by: Ahmed, Toufique, et al.
Published: (2025)
Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning
by: Manke, Ruchira, et al.
Published: (2025)
by: Manke, Ruchira, et al.
Published: (2025)
Comparative Evaluation of Embedding Representations for Financial News Sentiment Analysis
by: Roy, Joyjit, et al.
Published: (2025)
by: Roy, Joyjit, et al.
Published: (2025)
Latent Regularization in Generative Test Input Generation
by: Merabishvili, Giorgi, et al.
Published: (2026)
by: Merabishvili, Giorgi, et al.
Published: (2026)
Targeted Deep Learning System Boundary Testing
by: Weißl, Oliver, et al.
Published: (2024)
by: Weißl, Oliver, et al.
Published: (2024)
Automated Trustworthiness Testing for Machine Learning Classifiers
by: Cho, Steven, et al.
Published: (2024)
by: Cho, Steven, et al.
Published: (2024)
Targeted Test Selection Approach in Continuous Integration
by: Plyusnin, Pavel, et al.
Published: (2025)
by: Plyusnin, Pavel, et al.
Published: (2025)
Generative AI to Generate Test Data Generators
by: Baudry, Benoit, et al.
Published: (2024)
by: Baudry, Benoit, et al.
Published: (2024)
HyperNet-Adaptation for Diffusion-Based Test Case Generation
by: Weißl, Oliver, et al.
Published: (2026)
by: Weißl, Oliver, et al.
Published: (2026)
CA2: Code-Aware Agent for Automated Game Testing
by: Adaikkappan, Valliappan Chidambaram, et al.
Published: (2026)
by: Adaikkappan, Valliappan Chidambaram, et al.
Published: (2026)
Automating REST API Postman Test Cases Using LLM
by: Sri, S Deepika, et al.
Published: (2024)
by: Sri, S Deepika, et al.
Published: (2024)
Otter: Generating Tests from Issues to Validate SWE Patches
by: Ahmed, Toufique, et al.
Published: (2025)
by: Ahmed, Toufique, et al.
Published: (2025)
ExplainFuzz: Explainable and Constraint-Conditioned Test Generation with Probabilistic Circuits
by: Baiget, Annaëlle, et al.
Published: (2026)
by: Baiget, Annaëlle, et al.
Published: (2026)
Using Large Language Models to Generate JUnit Tests: An Empirical Study
by: Siddiq, Mohammed Latif, et al.
Published: (2023)
by: Siddiq, Mohammed Latif, et al.
Published: (2023)
PRIMG : Efficient LLM-driven Test Generation Using Mutant Prioritization
by: Bouafif, Mohamed Salah, et al.
Published: (2025)
by: Bouafif, Mohamed Salah, et al.
Published: (2025)
Identifying Flaky Tests in Quantum Code: A Machine Learning Approach
by: Kaur, Khushdeep, et al.
Published: (2025)
by: Kaur, Khushdeep, et al.
Published: (2025)
LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
by: Liu, Kaibo, et al.
Published: (2024)
by: Liu, Kaibo, et al.
Published: (2024)
Constrained Adversarial Learning for Automated Software Testing: a literature review
by: Vitorino, João, et al.
Published: (2023)
by: Vitorino, João, et al.
Published: (2023)
GPU Temperature Simulation-Based Testing for In-Vehicle Deep Learning Frameworks
by: Zou, Yinglong, et al.
Published: (2025)
by: Zou, Yinglong, et al.
Published: (2025)
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
by: Li, Linyi, et al.
Published: (2024)
by: Li, Linyi, et al.
Published: (2024)
PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation
by: Koushik, Gourisetty Venkata Sai, et al.
Published: (2026)
by: Koushik, Gourisetty Venkata Sai, et al.
Published: (2026)
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
by: Abbasishahkoo, Amin, et al.
Published: (2025)
by: Abbasishahkoo, Amin, et al.
Published: (2025)
Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs
by: Yoon, Juyeon, et al.
Published: (2025)
by: Yoon, Juyeon, et al.
Published: (2025)
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
by: Steenhoek, Benjamin, et al.
Published: (2023)
by: Steenhoek, Benjamin, et al.
Published: (2023)
Similar Items
-
Efficient Story Point Estimation With Comparative Learning
by: Khan, Monoshiz Mahbub, et al.
Published: (2025) -
Comparative Analysis of AWS Model Deployment Services
by: Bagai, Rahul
Published: (2024) -
Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling
by: Jiao, Yizhu, et al.
Published: (2026) -
Data Augmentation for Code Translation with Comparable Corpora and Multiple References
by: Xie, Yiqing, et al.
Published: (2023) -
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
by: Nadim, Md, et al.
Published: (2025)