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Qianli Wang

Order in the Evaluation Court: A Critical Analysis of NLG Evaluation Trends
Can Large Language Models Still Explain Themselves? Investigating the Impact of Quantization on Self-Explanations
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
Truth or twist? optimal model selection for reliable label flipping evaluation in llm-based counterfactuals
Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Beyond Transparency: Evaluating Explainability in AI-Supported Fact-Checking
Explainability of Large Language Models
Anchored Alignment for Self-Explanations Enhancement
CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem

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