Saved in:
| Main Authors: | Lee, Jun Rui, Emami, Sadegh, Hollins, Michael David, Wong, Timothy C. H., Sánchez, Carlos Ignacio Villalobos, Toni, Francesca, Zhang, Dekai, Dejl, Adam |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.01059 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hidden Conflicts in Neural Networks and Their Implications for Explainability
by: Dejl, Adam, et al.
Published: (2023)
by: Dejl, Adam, et al.
Published: (2023)
Argumentation for Explainable and Globally Contestable Decision Support with LLMs
by: Dejl, Adam, et al.
Published: (2026)
by: Dejl, Adam, et al.
Published: (2026)
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
by: Chen, Lihu, et al.
Published: (2024)
by: Chen, Lihu, et al.
Published: (2024)
ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models
by: Dejl, Adam, et al.
Published: (2026)
by: Dejl, Adam, et al.
Published: (2026)
Argumentative Large Language Models for Explainable and Contestable Claim Verification
by: Freedman, Gabriel, et al.
Published: (2024)
by: Freedman, Gabriel, et al.
Published: (2024)
Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
by: Zhou, Kevin, et al.
Published: (2025)
by: Zhou, Kevin, et al.
Published: (2025)
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference
by: Zhai, Xuehao, et al.
Published: (2024)
by: Zhai, Xuehao, et al.
Published: (2024)
Clustered Federated Learning via Embedding Distributions
by: Zhang, Dekai, et al.
Published: (2025)
by: Zhang, Dekai, et al.
Published: (2025)
Neurosymbolic Learning for Inference-Time Argumentation
by: Freedman, Gabriel, et al.
Published: (2026)
by: Freedman, Gabriel, et al.
Published: (2026)
Detecting Semantic Conflicts with Unit Tests
by: Da Silva, Léuson, et al.
Published: (2023)
by: Da Silva, Léuson, et al.
Published: (2023)
EvalSense: A Framework for Domain-Specific LLM (Meta-)Evaluation
by: Dejl, Adam, et al.
Published: (2026)
by: Dejl, Adam, et al.
Published: (2026)
On the Feasibility of Quantum Unit Testing
by: Miranskyy, Andriy, et al.
Published: (2025)
by: Miranskyy, Andriy, et al.
Published: (2025)
Contestable AI needs Computational Argumentation
by: Leofante, Francesco, et al.
Published: (2024)
by: Leofante, Francesco, et al.
Published: (2024)
Causal Effects with Unobserved Unit Types in Interacting Human-AI Systems
by: Overman, William, et al.
Published: (2026)
by: Overman, William, et al.
Published: (2026)
WIP: A Unit Testing Framework for Self-Guided Personalized Online Robotics Learning
by: Shill, Ponkoj Chandra, et al.
Published: (2024)
by: Shill, Ponkoj Chandra, et al.
Published: (2024)
Test smells in LLM-Generated Unit Tests
by: Ouédraogo, Wendkûuni C., et al.
Published: (2024)
by: Ouédraogo, Wendkûuni C., et al.
Published: (2024)
Directory of Federal Libraries and Information Centers: 1994. Technical Report.
by: Hollins, Martha
Published: (1997)
by: Hollins, Martha
Published: (1997)
ProfileXAI: User-Adaptive Explainable AI
by: Corrales, Gilber A., et al.
Published: (2025)
by: Corrales, Gilber A., et al.
Published: (2025)
Learning to Generate Unit Test via Adversarial Reinforcement Learning
by: Lee, Dongjun, et al.
Published: (2025)
by: Lee, Dongjun, et al.
Published: (2025)
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
by: Ji, Zongliang, et al.
Published: (2025)
by: Ji, Zongliang, et al.
Published: (2025)
UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance
by: Ma, Yichuan, et al.
Published: (2025)
by: Ma, Yichuan, et al.
Published: (2025)
Automated Unit Test Refactoring
by: Gao, Yi, et al.
Published: (2024)
by: Gao, Yi, et al.
Published: (2024)
An XAI View on Explainable ASP: Methods, Systems, and Perspectives
by: Eiter, Thomas, et al.
Published: (2026)
by: Eiter, Thomas, et al.
Published: (2026)
Benchmarking LLMs for Unit Test Generation from Real-World Functions
by: Huang, Dong, et al.
Published: (2025)
by: Huang, Dong, et al.
Published: (2025)
TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark
by: Jain, Kush, et al.
Published: (2024)
by: Jain, Kush, et al.
Published: (2024)
Deep Arguing
by: Gould, Adam, et al.
Published: (2026)
by: Gould, Adam, et al.
Published: (2026)
Neuro-Argumentative Learning with Case-Based Reasoning
by: Gould, Adam, et al.
Published: (2025)
by: Gould, Adam, et al.
Published: (2025)
Chapter 1 Teaching in the Shadow
by: Hollins, Etta R.
Published: (2020)
by: Hollins, Etta R.
Published: (2020)
SIMPLE Early Stream Unit Test
by: Elmlund, Hans
Published: (2026)
by: Elmlund, Hans
Published: (2026)
Help me to understand explainable AI ": ExUI – an Explanation Interface to evaluate user-centered XAI
by: Schwerk, Anne, et al.
Published: (2025)
by: Schwerk, Anne, et al.
Published: (2025)
How Do Developers Structure Unit Test Cases? An Empirical Study from the "AAA" Perspective
by: Wei, Chenhao, et al.
Published: (2024)
by: Wei, Chenhao, et al.
Published: (2024)
Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation
by: Dejl, Adam, et al.
Published: (2025)
by: Dejl, Adam, et al.
Published: (2025)
Adaptive Methods for Multiobjective Unit Commitment
by: Tevruez, Ece, et al.
Published: (2025)
by: Tevruez, Ece, et al.
Published: (2025)
False Sense of Security in Explainable Artificial Intelligence (XAI)
by: Chung, Neo Christopher, et al.
Published: (2024)
by: Chung, Neo Christopher, et al.
Published: (2024)
Less is More: On the Importance of Data Quality for Unit Test Generation
by: Zhang, Junwei, et al.
Published: (2025)
by: Zhang, Junwei, et al.
Published: (2025)
Understanding and Characterizing Mock Assertions in Unit Tests
by: Zhu, Hengcheng, et al.
Published: (2025)
by: Zhu, Hengcheng, et al.
Published: (2025)
Automatically Generating Single-Responsibility Unit Tests
by: Galindo-Gutierrez, Geraldine
Published: (2025)
by: Galindo-Gutierrez, Geraldine
Published: (2025)
Context-Aware Unit Testing for Quantum Subroutines
by: Klymenko, Mykhailo, et al.
Published: (2025)
by: Klymenko, Mykhailo, et al.
Published: (2025)
Learning to Generate Unit Tests for Automated Debugging
by: Prasad, Archiki, et al.
Published: (2025)
by: Prasad, Archiki, et al.
Published: (2025)
Unit Tests of Software in a University Environment
by: Darlene Gómez
Published: (2013)
by: Darlene Gómez
Published: (2013)
Similar Items
-
Hidden Conflicts in Neural Networks and Their Implications for Explainability
by: Dejl, Adam, et al.
Published: (2023) -
Argumentation for Explainable and Globally Contestable Decision Support with LLMs
by: Dejl, Adam, et al.
Published: (2026) -
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
by: Chen, Lihu, et al.
Published: (2024) -
ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models
by: Dejl, Adam, et al.
Published: (2026) -
Argumentative Large Language Models for Explainable and Contestable Claim Verification
by: Freedman, Gabriel, et al.
Published: (2024)