Xiang Yin

According to our database, Xiang Yin authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Strength Change Explanations in Quantitative Argumentation.

Timotheus Kampik, Xiang Yin, Nico Potyka, Francesca Toni

CoRR, March, 2026

2025

Latent Debate: A Surrogate Framework for Interpreting LLM Thinking.

Lihu Chen, Xiang Yin, Francesca Toni

CoRR, December, 2025

Contestability in Quantitative Argumentation.

Xiang Yin, Nico Potyka, Antonio Rago, Timotheus Kampik, Francesca Toni

CoRR, July, 2025

On the Impact of Sparsification on Quantitative Argumentative Explanations in Neural Networks.

Daniel Peacock, Mansi, Nico Potyka, Francesca Toni, Xiang Yin

Proceedings of the 3rd International Workshop on Argumentation for eXplainable AI (ArgXAI 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

Argumentative Large Language Models for Explainable and Contestable Claim Verification.

Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis.

Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni

Int. J. Approx. Reason., 2024

CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report).

Xiang Yin, Nico Potyka, Francesca Toni

CoRR, 2024

Argumentative Large Language Models for Explainable and Contestable Decision-Making.

Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni

CoRR, 2024

Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report).

Xiang Yin, Nico Potyka, Francesca Toni

CoRR, 2024

Contestable AI Needs Computational Argumentation.

Francesco Leofante, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, Antonio Rago, Anna Rapberger, Fabrizio Russo, Xiang Yin, Dekai Zhang, Francesca Toni

Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks.

Xiang Yin, Nico Potyka, Francesca Toni

Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports.

Xiang Yin, Nico Potyka, Francesca Toni

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks.

Xiang Yin, Nico Potyka, Francesca Toni

Proceedings of the 2nd International Workshop on Argumentation for eXplainable AI co-located with the 10th International Conference on Computational Models of Argument (COMMA 2024), 2024

2023

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report).

Xiang Yin, Nico Potyka, Francesca Toni

CoRR, 2023

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks.

Xiang Yin, Nico Potyka, Francesca Toni

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Explaining Random Forests Using Bipolar Argumentation and Markov Networks.

Nico Potyka, Xiang Yin, Francesca Toni

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report).

Nico Potyka, Xiang Yin, Francesca Toni

CoRR, 2022

Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data.

Nico Potyka, Xiang Yin, Francesca Toni

CoRR, 2022

On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI.

Nico Potyka, Xiang Yin, Francesca Toni

Proceedings of the 1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022