Cover Image

Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Qianli, Anikina, Tatiana, Feldhus, Nils, Ostermann, Simon, Splitt, Fedor, Li, Jiaao, Tsoneva, Yoana, Möller, Sebastian, Schmitt, Vera
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
by: Wang, Qianli, et al.
Published: (2024)

Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
by: Wang, Qianli, et al.
Published: (2024)

Can Large Language Models Still Explain Themselves? Investigating the Impact of Quantization on Self-Explanations
by: Wang, Qianli, et al.
Published: (2026)

LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
by: Wang, Qianli, et al.
Published: (2024)

Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
by: Wang, Qianli, et al.
Published: (2026)

FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
by: Wang, Qianli, et al.
Published: (2025)

Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall
by: Wang, Qianli, et al.
Published: (2025)

XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Models
by: Sahitaj, Ariana, et al.
Published: (2025)

Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals
by: Wang, Qianli, et al.
Published: (2025)

Anchored Alignment for Self-Explanations Enhancement
by: Villa-Arenas, Luis Felipe, et al.
Published: (2024)

iFlip: Iterative Feedback-driven Counterfactual Example Refinement
by: Wang, Yilong, et al.
Published: (2026)

Multilingual Large Language Models and Curse of Multilinguality
by: Gurgurov, Daniil, et al.
Published: (2024)

Large Language Models for Multilingual Previously Fact-Checked Claim Detection
by: Vykopal, Ivan, et al.
Published: (2025)

A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages
by: Anikina, Tatiana, et al.
Published: (2025)

Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models
by: Möller, Sebastian, et al.
Published: (2025)

Judge Circuits
by: Feldhus, Nils, et al.
Published: (2026)

Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
by: Anikina, Tatiana, et al.
Published: (2025)

Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization
by: Sun, Jingyi, et al.
Published: (2026)

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence
by: Sahitaj, Ariana, et al.
Published: (2025)

What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations
by: Trinley, Katharina, et al.
Published: (2025)

What Are We Measuring in NLG? A Meta-Analysis of Evaluation Trends 2020-2025
by: Yang, Jing, et al.
Published: (2026)

Interpreting Language Models Through Concept Descriptions: A Survey
by: Feldhus, Nils, et al.
Published: (2025)

When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification
by: Shcharbakova, Hanna, et al.
Published: (2025)

Persona Prompting as a Lens on LLM Social Reasoning
by: Yang, Jing, et al.
Published: (2026)

Simplifying Outcomes of Language Model Component Analyses with ELIA
by: Eidt, Aaron Louis, et al.
Published: (2026)

Enhancing Multilingual Counterfactual Generation through Alignment-as-Preference Optimization
by: Wang, Yilong, et al.
Published: (2026)

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

Feminist Conversation Analysis and Applied Conversation Analysis
by: Ana Cristina Ostermann
Published: (2012)

Free-text Rationale Generation under Readability Level Control
by: Hsu, Yi-Sheng, et al.
Published: (2024)

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
by: Ehsan, Upol, et al.
Published: (2021)

Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
by: Dhaini, Mahdi, et al.
Published: (2025)

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data
by: Borisova, Ekaterina, et al.
Published: (2025)

Benchmarking XAI Explanations with Human-Aligned Evaluations
by: Kazmierczak, Rémi, et al.
Published: (2024)

On the Hardness of Computing Counterfactual and Semifactual Explanations in XAI
by: Artelt, André, et al.
Published: (2026)

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

How Reliable and Stable are Explanations of XAI Methods?
by: Ribeiro, José, et al.
Published: (2024)

Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation Parsing
by: Bitaraf, Ehsan, et al.
Published: (2024)

Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
by: He, Gaole, et al.
Published: (2025)

XAI Tool Economics: The Cost Structure of Explanation Generation
by: Ivchenko, Oleh
Published: (2026)

Should XAI Nudge Human Decisions with Explanation Biasing?
by: Fukuchi, Yosuke, et al.
Published: (2024)