Xiang Yin

22 papers A* 5A 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Strength Change Explanations in Quantitative Argumentation.
CoRR
Timotheus Kampik, Xiang Yin, Nico Potyka, Francesca Toni
2025 A* conf
Argumentative Large Language Models for Explainable and Contestable Claim Verification.
AAAI
Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni
2025 J jnl
Contestability in Quantitative Argumentation.
CoRR
Xiang Yin, Nico Potyka, Antonio Rago, Timotheus Kampik, Francesca Toni
2025 J jnl
Latent Debate: A Surrogate Framework for Interpreting LLM Thinking.
CoRR
Lihu Chen, Xiang Yin, Francesca Toni
2025 — conf
On the Impact of Sparsification on Quantitative Argumentative Explanations in Neural Networks.
ArgXAI@ECAI
Daniel Peacock, Mansi, Nico Potyka, Francesca Toni, Xiang Yin
2024 — conf
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks.
ArgXAI
Xiang Yin, Nico Potyka, Francesca Toni
2024 J jnl
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks.
CoRR
Xiang Yin, Nico Potyka, Francesca Toni
2024 J jnl
Argumentative Large Language Models for Explainable and Contestable Decision-Making.
CoRR
Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni
2024 J jnl
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report).
CoRR
Xiang Yin, Nico Potyka, Francesca Toni
2024 A* conf
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks.
KR
Xiang Yin, Nico Potyka, Francesca Toni
2024 A* conf
Contestable AI Needs Computational Argumentation.
KR
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
2024 J jnl
Contestable AI needs Computational Argumentation.
CoRR
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
2024 J jnl
Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis.
CoRR
Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni
2024 J jnl
Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis.
Int. J. Approx. Reason.
Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni
2024 J jnl
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report).
CoRR
Xiang Yin, Nico Potyka, Francesca Toni
2024 A* conf
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports.
IJCAI
Xiang Yin, Nico Potyka, Francesca Toni
2023 J jnl
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report).
CoRR
Xiang Yin, Nico Potyka, Francesca Toni
2023 A conf
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks.
ECAI
Xiang Yin, Nico Potyka, Francesca Toni
2023 A* conf
Explaining Random Forests Using Bipolar Argumentation and Markov Networks.
AAAI
Nico Potyka, Xiang Yin, Francesca Toni
2022 J jnl
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report).
CoRR
Nico Potyka, Xiang Yin, Francesca Toni
2022 — conf
On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI.
ArgXAI
Nico Potyka, Xiang Yin, Francesca Toni
2022 J jnl
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data.
CoRR
Nico Potyka, Xiang Yin, Francesca Toni