Cover Image

Deep Arguing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gould, Adam, Toni, Francesca
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuro-Argumentative Learning with Case-Based Reasoning
by: Gould, Adam, et al.
Published: (2025)

Supported Abstract Argumentation for Case-Based Reasoning
by: Gould, Adam, et al.
Published: (2025)

Object-Centric Case-Based Reasoning via Argumentation
by: Gaul, Gabriel de Olim, et al.
Published: (2025)

Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix)
by: Gould, Adam, et al.
Published: (2024)

Neurosymbolic Learning for Inference-Time Argumentation
by: Freedman, Gabriel, et al.
Published: (2026)

Argumentation for Explainable and Globally Contestable Decision Support with LLMs
by: Dejl, Adam, et al.
Published: (2026)

ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models
by: Dejl, Adam, et al.
Published: (2026)

AI Debaters are More Persuasive when Arguing in Alignment with Their Own Beliefs
by: Carro, María Victoria, et al.
Published: (2025)

Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs
by: Freedman, Gabriel, et al.
Published: (2025)

Retrieval- and Argumentation-Enhanced Multi-Agent LLMs for Judgmental Forecasting (Extended Version with Supplementary Material)
by: Gorur, Deniz, et al.
Published: (2025)

Free Argumentative Exchanges for Explaining Image Classifiers
by: Kori, Avinash, et al.
Published: (2025)

Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report)
by: Yin, Xiang, et al.
Published: (2024)

PeerArg: Argumentative Peer Review with LLMs
by: Sukpanichnant, Purin, et al.
Published: (2024)

Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks
by: Yin, Xiang, et al.
Published: (2024)

Argumentative Causal Discovery
by: Russo, Fabrizio, et al.
Published: (2024)

CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report)
by: Yin, Xiang, et al.
Published: (2024)

On the Correspondence of Non-flat Assumption-based Argumentation and Logic Programming with Negation as Failure in the Head
by: Rapberger, Anna, et al.
Published: (2024)

Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework
by: Russo, Fabrizio, et al.
Published: (2023)

ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms
by: Kleiman, Jennifer, et al.
Published: (2026)

Heterogeneous Graph Neural Networks for Assumption-Based Argumentation
by: Gehlot, Preesha, et al.
Published: (2025)

Non-flat ABA is an Instance of Bipolar Argumentation
by: Ulbricht, Markus, et al.
Published: (2023)

On Gradual Semantics for Assumption-Based Argumentation
by: Rapberger, Anna, et al.
Published: (2025)

Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference
by: Zhai, Xuehao, et al.
Published: (2024)

Argumentatively Coherent Judgmental Forecasting
by: Gorur, Deniz, et al.
Published: (2025)

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
by: Zhou, Kevin, et al.
Published: (2025)

Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us
by: Vasileiou, Stylianos Loukas, et al.
Published: (2026)

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2023)

Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis
by: Kampik, Timotheus, et al.
Published: (2024)

Contestability in Quantitative Argumentation
by: Yin, Xiang, et al.
Published: (2025)

Argumentation for Explainable Workforce Optimisation (with Appendix)
by: Leigh, Jennifer, et al.
Published: (2025)

Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report)
by: Jiang, Junqi, et al.
Published: (2023)

Robust Counterfactual Explanations in Machine Learning: A Survey
by: Jiang, Junqi, et al.
Published: (2024)

Argumentative Debates for Transparent Bias Detection [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2025)

Interval Abstractions for Robust Counterfactual Explanations
by: Jiang, Junqi, et al.
Published: (2024)

Can Large Language Models perform Relation-based Argument Mining?
by: Gorur, Deniz, et al.
Published: (2024)

Proceedings of the Second International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2025)
by: Nguyen, Ha-Thanh, et al.
Published: (2025)

Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation
by: Lehtonen, Tuomo, et al.
Published: (2024)

Proceedings of the First International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2024)
by: Satoh, Ken, et al.
Published: (2024)

Selective Fine-Tuning for Targeted and Robust Concept Unlearning
by: Mansi, et al.
Published: (2026)

The Reasons that Agents Act: Intention and Instrumental Goals
by: Ward, Francis Rhys, et al.
Published: (2024)