:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rawshan, Louth Bin, Wang, Zhuoyu, Lim, Brian Y.
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.27354
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model
by: Rawshan, Louth Bin, et al.
Published: (2026)

Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
by: Pala, Riccardo, et al.
Published: (2024)

Incremental XAI: Memorable Understanding of AI with Incremental Explanations
by: Bo, Jessica Y., et al.
Published: (2024)

ROXIE: Defining a Robotic eXplanation and Interpretability Engine
by: Rodríguez-Lera, Francisco J., et al.
Published: (2024)

Transferable XAI: Relating Understanding Across Domains with Explanation Transfer
by: Wang, Fei, et al.
Published: (2026)

SPAX: A Shapley-Based Point Attribution eXplanation for Interpreting 3D Point Cloud Classification
by: Harinck, Marc, et al.
Published: (2026)

Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments
by: Zhang, Yifan, et al.
Published: (2026)

From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
by: Achtibat, Reduan, et al.
Published: (2022)

Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis
by: Lim, Brian Y., et al.
Published: (2023)

eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR
by: Wang, Jingying, et al.
Published: (2025)

Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
by: Rong, Yao, et al.
Published: (2022)

Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
by: Nguyen, Elisa, et al.
Published: (2024)

Human-Aware Belief Revision: A Cognitively Inspired Framework for Explanation-Guided Revision of Human Models
by: Vasileiou, Stylianos Loukas, et al.
Published: (2024)

Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models
by: Hsu, Aliyah R., et al.
Published: (2024)

Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes
by: Chen, Haoyang, et al.
Published: (2026)

From Control to Foresight: Simulation as a New Paradigm for Human-Agent Collaboration
by: He, Gaole, et al.
Published: (2026)

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
by: Cohen, Myke C., et al.
Published: (2026)

Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
by: Li, Yubo, et al.
Published: (2025)

A.X K1 Technical Report
by: Cheon, Sung Jun, et al.
Published: (2026)

An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systems
by: Chari, Shruthi
Published: (2024)

Noosemia: toward a Cognitive and Phenomenological Account of Intentionality Attribution in Human-Generative AI Interaction
by: De Santis, Enrico, et al.
Published: (2025)

Ranking Counterfactual Explanations
by: Lim, Suryani, et al.
Published: (2025)

TAPS: Target-Aware Prefix Tree Selection for Diffusion-Drafted Speculative Decoding
by: Wang, Zhuoyu, et al.
Published: (2026)

Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
by: He, Jessica, et al.
Published: (2025)

Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance
by: Wang, Yufeng, et al.
Published: (2025)

Attribution for Enhanced Explanation with Transferable Adversarial eXploration
by: Zhu, Zhiyu, et al.
Published: (2024)

Forms of Understanding for XAI-Explanations
by: Buschmeier, Hendrik, et al.
Published: (2023)

E-LENS: User Requirements-Oriented AI Ethics Assurance
by: Zhou, Jianlong, et al.
Published: (2025)

Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
by: Sivaprasad, Adarsa, et al.
Published: (2023)

Decision-Oriented Dialogue for Human-AI Collaboration
by: Lin, Jessy, et al.
Published: (2023)

A Generative AI-Driven Reliability Layer for Action-Oriented Disaster Resilience
by: Lim, Geunsik
Published: (2026)

CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
by: Deng, Hexuan, et al.
Published: (2026)

Human Cognitive Biases in Explanation-Based Interaction: The Case of Within and Between Session Order Effect
by: Pesenti, Dario, et al.
Published: (2025)

The AI-DEC: A Card-based Design Method for User-centered AI Explanations
by: Lee, Christine P, et al.
Published: (2024)

User Decision Guidance with Selective Explanation Presentation from Explainable-AI
by: Fukuchi, Yosuke, et al.
Published: (2024)

Mathematical Explanations
by: Halpern, Joseph Y.
Published: (2023)

Attribution-based Explanations for Markov Decision Processes
by: Kobialka, Paul, et al.
Published: (2026)

Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity
by: Rezwana, Jeba, et al.
Published: (2025)

The Dual Role of Abstracting over the Irrelevant in Symbolic Explanations: Cognitive Effort vs. Understanding
by: Saribatur, Zeynep G., et al.
Published: (2026)

When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making
by: Fan, Shutong, et al.
Published: (2026)