:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Atf, Zahra, Lewis, Peter R.
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2510.03892
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
by: Sun, Zhaoyue, 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)

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

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

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

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

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

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

Training Language Models to Explain Their Own Computations
by: Li, Belinda Z., et al.
Published: (2025)

Explaining Large Language Models with gSMILE
by: Dehghani, Zeinab, et al.
Published: (2025)

Are Today's LLMs Ready to Explain Well-Being Concepts?
by: Jiang, Bohan, et al.
Published: (2025)