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09/11/2023
Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task
The evolution of Generative Pre-trained Transformer (GPT) models has led...
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08/30/2023
Understanding ProbLog as Probabilistic Argumentation
ProbLog is a popular probabilistic logic programming language/tool, wide...
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08/30/2023
ABA Learning via ASP
Recently, ABA Learning has been proposed as a form of symbolic machine l...
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08/28/2023
Proceedings 39th International Conference on Logic Programming
This volume contains the Technical Communications presented at the 39th ...
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07/25/2023
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)
Argumentative explainable AI has been advocated by several in recent yea...
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07/18/2023
Unsupervised Conditional Slot Attention for Object Centric Learning
Extracting object-level representations for downstream reasoning tasks i...
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06/29/2023
A negation detection assessment of GPTs: analysis with the xNot360 dataset
Negation is a fundamental aspect of natural language, playing a critical...
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06/29/2023
Beyond Logic Programming for Legal Reasoning
Logic programming has long being advocated for legal reasoning, and seve...
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06/26/2023
DR-HAI: Argumentation-based Dialectical Reconciliation in Human-AI Interactions
We present DR-HAI – a novel argumentation-based framework designed to ex...
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05/25/2023
Learning Assumption-based Argumentation Frameworks
We propose a novel approach to logic-based learning which generates assu...
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05/21/2023
Non-flat ABA is an Instance of Bipolar Argumentation
Assumption-based Argumentation (ABA) is a well-known structured argument...
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04/14/2023
How well do SOTA legal reasoning models support abductive reasoning?
We examine how well the state-of-the-art (SOTA) models used in legal rea...
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03/27/2023
Interactive Explanations by Conflict Resolution via Argumentative Exchanges
As the field of explainable AI (XAI) is maturing, calls for interactive ...
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01/23/2023
SpArX: Sparse Argumentative Explanations for Neural Networks
Neural networks (NNs) have various applications in AI, but explaining th...
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11/21/2022
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report)
Random forests are decision tree ensembles that can be used to solve a v...
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10/17/2022
Visual Debates
The natural way of obtaining different perspectives on any given topic i...
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09/28/2022
Argumentative Reward Learning: Reasoning About Human Preferences
We define a novel neuro-symbolic framework, argumentative reward learnin...
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08/31/2022
Formalising the Robustness of Counterfactual Explanations for Neural Networks
The use of counterfactual explanations (CFXs) is an increasingly popular...
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07/30/2022
On Interactive Explanations as Non-Monotonic Reasoning
Recent work shows issues of consistency with explanations, with methods ...
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07/11/2022
A Federated Cox Model with Non-Proportional Hazards
Recent research has shown the potential for neural networks to improve u...
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07/05/2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
Most of the current explainability techniques focus on capturing the imp...
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07/05/2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models
Explanations for black-box models help us understand model decisions as ...
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05/23/2022
Forecasting Argumentation Frameworks
We introduce Forecasting Argumentation Frameworks (FAFs), a novel argume...
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05/23/2022
Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement
Causal models are playing an increasingly important role in machine lear...
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05/22/2022
Argumentative Explanations for Pattern-Based Text Classifiers
Recent works in Explainable AI mostly address the transparency issue of ...
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05/19/2022
Causal Discovery and Injection for Feed-Forward Neural Networks
Neural networks have proven to be effective at solving a wide range of p...
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05/19/2022
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data
There is broad agreement in the literature that explanation methods shou...
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04/29/2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Recent efforts within the AI community have yielded impressive results t...
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01/26/2022
Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit
The forum r/AmITheAsshole in Reddit hosts discussion on moral issues bas...
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01/18/2022
Explainable Decision Making with Lean and Argumentative Explanations
It is widely acknowledged that transparency of automated decision making...
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09/25/2021
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
This paper presents an end-to-end system for fact extraction and verific...
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07/13/2021
Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)
Recently, abstract argumentation-based models of case-based reasoning (A...
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05/28/2021
An Explanatory Query-Based Framework for Exploring Academic Expertise
The success of research institutions heavily relies upon identifying the...
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05/24/2021
Argumentative XAI: A Survey
Explainable AI (XAI) has been investigated for decades and, together wit...
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05/23/2021
Automatic Product Ontology Extraction from Textual Reviews
Ontologies have proven beneficial in different settings that make use of...
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04/30/2021
Explanation-Based Human Debugging of NLP Models: A Survey
To fix a bug in a program, we need to locate where the bug is, understan...
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04/08/2021
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
Data exploration is an important step of every data science and machine ...
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02/04/2021
Aggregating Bipolar Opinions (With Appendix)
We introduce a novel method to aggregate Bipolar Argumentation (BA) Fram...
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12/10/2020
Influence-Driven Explanations for Bayesian Network Classifiers
One of the most pressing issues in AI in recent years has been the need ...
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12/10/2020
DAX: Deep Argumentative eXplanation for Neural Networks
Despite the rapid growth in attention on eXplainable AI (XAI) of late, e...
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11/07/2020
Explainable Automated Fact-Checking: A Survey
A number of exciting advances have been made in automated fact-checking ...
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10/19/2020
Explainable Automated Fact-Checking for Public Health Claims
Fact-checking is the task of verifying the veracity of claims by assessi...
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10/10/2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
Since obtaining a perfect training dataset (i.e., a dataset which is con...
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07/10/2020
Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation
Recently, abstract argumentation-based models of case-based reasoning (A...
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12/12/2019
Formal Verification of Debates in Argumentation Theory
Humans engage in informal debates on a daily basis. By expressing their ...
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08/31/2019
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records
The large volume of text in electronic healthcare records often remains ...
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08/29/2019
Human-grounded Evaluations of Explanation Methods for Text Classification
Due to the black-box nature of deep learning models, methods for explain...
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03/05/2019
Complexity Results and Algorithms for Bipolar Argumentation
Bipolar Argumentation Frameworks (BAFs) admit several interpretations of...
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11/13/2018
Argumentation for Explainable Scheduling (Full Paper with Proofs)
Mathematical optimization offers highly-effective tools for finding solu...
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10/10/2016