arXiv (All)
open access
XAI-Arena: Can LLMs Assess the Quality of XAI Explanations?
Evaluating the quality of explanations produced by explainable AI (XAI) methods remains challenging because existing approaches often rely on subjective human judgment, limiting reproducibility, scalability, and comparability between studies. We examine whether LLMs can serve as a reproducible and s
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- From Plausible to Actionable: A Position on LLM Self-Explanations#987751
- A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision#1067519
- From Interpretability Methods to Interpretable Models#972325
- Hu-CEMNIST: A Benchmark Dataset of Human-Generated Counterfactual Explanations for MNIST#1110858
- Enhancing Assessment of Self-Consistency in LLM Explanations using Perturbation Strength#1105408
Record · ID 987176
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive