Imagen de Portada

Kantian-Utilitarian XAI: Meta-Explained

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Atf, Zahra, Lewis, Peter R.
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Is Trust Correlated With Explainability in AI? A Meta-Analysis
por: Atf, Zahra, et al.
Publicado: (2025)

Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
por: Atf, Zahra, et al.
Publicado: (2025)

ScenarioBench: Trace-Grounded Compliance Evaluation for Text-to-SQL and RAG
por: Atf, Zahra, et al.
Publicado: (2025)

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
por: Naderi, Nariman, et al.
Publicado: (2025)

Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis
por: Kenneth, Mary Ogbuka, et al.
Publicado: (2025)

LLMs for XAI: Future Directions for Explaining Explanations
por: Zytek, Alexandra, et al.
Publicado: (2024)

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
por: Naderi, Nariman, et al.
Publicado: (2025)

Can LLMs Explain Themselves Counterfactually?
por: Dehghanighobadi, Zahra, et al.
Publicado: (2025)

Many LLMs Are More Utilitarian Than One
por: Keshmirian, Anita, et al.
Publicado: (2025)

False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs
por: Okutomi, Akira
Publicado: (2025)

Explainable AI: XAI-Guided Context-Aware Data Augmentation
por: Mersha, Melkamu Abay, et al.
Publicado: (2025)

From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent
por: Nguyen, Van Bach, et al.
Publicado: (2022)

Explaining Mixtures of Sources in News Articles
por: Spangher, Alexander, et al.
Publicado: (2024)

How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narratives
por: Ichmoukhamedov, Timour, et al.
Publicado: (2024)

FaithLens: Detecting and Explaining Faithfulness Hallucination
por: Si, Shuzheng, et al.
Publicado: (2025)

LAG-XAI: A Lie-Inspired Affine Geometric Framework for Interpretable Paraphrasing in Transformer Latent Spaces
por: Mazurets, Olexander, et al.
Publicado: (2026)

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning
por: Cho, Hyundong, et al.
Publicado: (2025)

Explaining the Reasoning of Large Language Models Using Attribution Graphs
por: Walker, Chase, et al.
Publicado: (2025)

MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
por: Li, Jiachun, et al.
Publicado: (2024)

CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
por: Tian, Lin, et al.
Publicado: (2024)

Quantifying True Robustness: Synonymity-Weighted Similarity for Trustworthy XAI Evaluation
por: Burger, Christopher
Publicado: (2025)

Explain-then-Process: Using Grammar Prompting to Enhance Grammatical Acceptability Judgments
por: Scheinberg, Russell, et al.
Publicado: (2025)

Does Using Counterfactual Help LLMs Explain Textual Importance in Classification?
por: Tan, Nelvin, et al.
Publicado: (2025)

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
por: Sun, Zhaoyue, et al.
Publicado: (2024)

Parameter Efficient Fine-tuning via Explained Variance Adaptation
por: Paischer, Fabian, et al.
Publicado: (2024)

Incorporating Error Level Noise Embedding for Improving LLM-Assisted Robustness in Persian Speech Recognition
por: Rahmani, Zahra, et al.
Publicado: (2025)

DepthKV: Layer-Dependent KV Cache Pruning for Long-Context LLM Inference
por: Dehghanighobadi, Zahra, et al.
Publicado: (2026)

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

Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
por: Mersha, Melkamu Abay, et al.
Publicado: (2025)

Induction Head Toxicity Mechanistically Explains Repetition Curse in Large Language Models
por: Wang, Shuxun, et al.
Publicado: (2025)

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
por: Zhu, Jian-Qiao, et al.
Publicado: (2025)

WASD: Locating Critical Neurons as Sufficient Conditions for Explaining and Controlling LLM Behavior
por: Yu, Haonan, et al.
Publicado: (2026)

A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
por: Mersha, Melkamu Abay, et al.
Publicado: (2025)

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
por: Qu, Yuxiao, et al.
Publicado: (2025)

Better Late Than Never: Meta-Evaluation of Latency Metrics for Simultaneous Speech-to-Text Translation
por: Polák, Peter, et al.
Publicado: (2025)

Fairness Definitions in Language Models Explained
por: Yin, Zhipeng, et al.
Publicado: (2024)

Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
por: Lewis, Martha, et al.
Publicado: (2024)

Exploring the features used for summary evaluation by Human and GPT
por: Sadeghi, Zahra, et al.
Publicado: (2025)

Bridging LLMs and Symbolic Reasoning in Educational QA Systems: Insights from the XAI Challenge at IJCNN 2025
por: Nguyen, Long S. T., et al.
Publicado: (2025)

TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection
por: Cheng, Long, et al.
Publicado: (2024)