ContextualSHAP : Enhancing SHAP Explanations Through Contextual Language Generation
Fuente:
arXiv
Guardado en:
| Autores principales: | Dwiyanti, Latifa, Wibisono, Sergio Ryan, Nambo, Hidetaka |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
por: Mozolewski, Maciej, et al.
Publicado: (2025)
por: Mozolewski, Maciej, et al.
Publicado: (2025)
Dynamic Trust Calibration Using Contextual Bandits
por: Henrique, Bruno M., et al.
Publicado: (2025)
por: Henrique, Bruno M., et al.
Publicado: (2025)
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation
por: Xu, Songlin, et al.
Publicado: (2025)
por: Xu, Songlin, et al.
Publicado: (2025)
A Mobile Application Front-End for Presenting Explainable AI Results in Diabetes Risk Estimation
por: Willson, Bernardus, et al.
Publicado: (2025)
por: Willson, Bernardus, et al.
Publicado: (2025)
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
por: Nahar, Mahjabin, et al.
Publicado: (2025)
por: Nahar, Mahjabin, et al.
Publicado: (2025)
A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling
por: Vincent, Sebastian, et al.
Publicado: (2024)
por: Vincent, Sebastian, et al.
Publicado: (2024)
Towards Human-Centered Construction Robotics: A Reinforcement Learning-Driven Companion Robot for Contextually Assisting Carpentry Workers
por: Wu, Yuning, et al.
Publicado: (2024)
por: Wu, Yuning, et al.
Publicado: (2024)
Counterfactual Explanation-Based Badminton Motion Guidance Generation Using Wearable Sensors
por: Seong, Minwoo, et al.
Publicado: (2024)
por: Seong, Minwoo, et al.
Publicado: (2024)
MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems
por: Chari, Shruthi, et al.
Publicado: (2025)
por: Chari, Shruthi, et al.
Publicado: (2025)
Introducing User Feedback-based Counterfactual Explanations (UFCE)
por: Suffian, Muhammad, et al.
Publicado: (2024)
por: Suffian, Muhammad, et al.
Publicado: (2024)
Explaining News Bias Detection: A Comparative SHAP Analysis of Transformer Model Decision Mechanisms
por: Ghosh, Himel
Publicado: (2025)
por: Ghosh, Himel
Publicado: (2025)
Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction
por: Samimi, Reza, et al.
Publicado: (2025)
por: Samimi, Reza, et al.
Publicado: (2025)
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
por: Sivaprasad, Adarsa, et al.
Publicado: (2023)
por: Sivaprasad, Adarsa, et al.
Publicado: (2023)
Explanation through Reward Model Reconciliation using POMDP Tree Search
por: Kraske, Benjamin D., et al.
Publicado: (2023)
por: Kraske, Benjamin D., et al.
Publicado: (2023)
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication
por: Rojo, Diego, et al.
Publicado: (2024)
por: Rojo, Diego, et al.
Publicado: (2024)
Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding
por: Baer, Gregor, et al.
Publicado: (2026)
por: Baer, Gregor, et al.
Publicado: (2026)
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
por: Arefeen, Asiful, et al.
Publicado: (2023)
por: Arefeen, Asiful, et al.
Publicado: (2023)
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis
por: Lim, Brian Y., et al.
Publicado: (2023)
por: Lim, Brian Y., et al.
Publicado: (2023)
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
por: Moreira, Ricardo, et al.
Publicado: (2024)
por: Moreira, Ricardo, et al.
Publicado: (2024)
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs
por: Liu, Xiaowei, et al.
Publicado: (2024)
por: Liu, Xiaowei, et al.
Publicado: (2024)
Context-Aware Visualization for Explainable AI Recommendations in Social Media: A Vision for User-Aligned Explanations
por: Alkhateeb, Banan, et al.
Publicado: (2025)
por: Alkhateeb, Banan, et al.
Publicado: (2025)
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making
por: Lee, Min Hun, et al.
Publicado: (2024)
por: Lee, Min Hun, et al.
Publicado: (2024)
The Art of Saying No: Contextual Noncompliance in Language Models
por: Brahman, Faeze, et al.
Publicado: (2024)
por: Brahman, Faeze, et al.
Publicado: (2024)
Enhancing the Interpretability of SHAP Values Using Large Language Models
por: Zeng, Xianlong, et al.
Publicado: (2024)
por: Zeng, Xianlong, et al.
Publicado: (2024)
Properties and Challenges of LLM-Generated Explanations
por: Kunz, Jenny, et al.
Publicado: (2024)
por: Kunz, Jenny, et al.
Publicado: (2024)
LLMs for XAI: Future Directions for Explaining Explanations
por: Zytek, Alexandra, et al.
Publicado: (2024)
por: Zytek, Alexandra, et al.
Publicado: (2024)
Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
por: Merker, Helena, et al.
Publicado: (2026)
por: Merker, Helena, et al.
Publicado: (2026)
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
por: Lee, Seongmin, et al.
Publicado: (2023)
por: Lee, Seongmin, et al.
Publicado: (2023)
LitPivot: Developing Well-Situated Research Ideas Through Dynamic Contextualization and Critique within the Literature Landscape
por: Kambhamettu, Hita, et al.
Publicado: (2026)
por: Kambhamettu, Hita, et al.
Publicado: (2026)
Lucia: A Temporal Computing Platform for Contextual Intelligence
por: Lin, Weizhe, et al.
Publicado: (2024)
por: Lin, Weizhe, et al.
Publicado: (2024)
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections
por: Bamford, Tom, et al.
Publicado: (2023)
por: Bamford, Tom, et al.
Publicado: (2023)
TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models
por: Abbas, Ammar N., et al.
Publicado: (2024)
por: Abbas, Ammar N., et al.
Publicado: (2024)
Evaluating Contextually Personalized Programming Exercises Created with Generative AI
por: Logacheva, Evanfiya, et al.
Publicado: (2024)
por: Logacheva, Evanfiya, et al.
Publicado: (2024)
HelpViz: Automatic Generation of Contextual Visual MobileTutorials from Text-Based Instructions
por: Zhong, Mingyuan, et al.
Publicado: (2021)
por: Zhong, Mingyuan, et al.
Publicado: (2021)
Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.ii
por: Ayonrinde, Kola, et al.
Publicado: (2025)
por: Ayonrinde, Kola, et al.
Publicado: (2025)
MedSyn: Enhancing Diagnostics with Human-AI Collaboration
por: Sayin, Burcu, et al.
Publicado: (2025)
por: Sayin, Burcu, et al.
Publicado: (2025)
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
por: Arefeen, Asiful, et al.
Publicado: (2025)
por: Arefeen, Asiful, et al.
Publicado: (2025)
Reinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR Experiences
por: Joshi, Aniruddha Srinivas
Publicado: (2025)
por: Joshi, Aniruddha Srinivas
Publicado: (2025)
ClickAgent: Enhancing UI Location Capabilities of Autonomous Agents
por: Hoscilowicz, Jakub, et al.
Publicado: (2024)
por: Hoscilowicz, Jakub, et al.
Publicado: (2024)
Toward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model
por: Hashimoto, Saki, et al.
Publicado: (2025)
por: Hashimoto, Saki, et al.
Publicado: (2025)
Ejemplares similares
-
From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
por: Mozolewski, Maciej, et al.
Publicado: (2025) -
Dynamic Trust Calibration Using Contextual Bandits
por: Henrique, Bruno M., et al.
Publicado: (2025) -
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation
por: Xu, Songlin, et al.
Publicado: (2025) -
A Mobile Application Front-End for Presenting Explainable AI Results in Diabetes Risk Estimation
por: Willson, Bernardus, et al.
Publicado: (2025) -
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
por: Nahar, Mahjabin, et al.
Publicado: (2025)