From the 2 of 24 linked papers with an AI index.
24 papers
On Measuring Semantic Preservation in Legal Ontology Learning
Albert Sadowski, Jarosław A. Chudziak
Ontology learning transforms unstructured text into structured representations for automated reasoning. Yet structuring information risks losing it, and current evaluation methodol…
Compression-Based Behavioral Similarity for Open-World Sybil Discovery on Ethereum
MichaÅ Bartnicki, JarosÅaw A. Chudziak
The paper introduces a training‑free, compression‑based similarity approach that builds a symbolic transaction grammar and uses gzip‑based normalized compression distance to identi…
Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models
MichaÅ Bartnicki, JarosÅaw A. Chudziak
The paper proposes a leakage‑aware framework for detecting Sybil bots on Ethereum by comparing tree‑based tabular models with sequence models, showing that XGBoost outperforms Tran…
How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messages
Ewelina Gajewska, Katarzyna Budzynska, Jaroslaw Chudziak +1
Rhetorical strategies and their influence on audiences are often studied through social media posts and comments. However, this focus overlooks the universal audience, which is the…
From Argument Components to Graphs: A Multi-Agent Debate with Confidence Gating for Argument Relations
Jakub BÄ ba, JarosÅaw A. Chudziak
Large Language Models (LLMs) are increasingly assessed and utilized in the field of Argument Mining (AM), thanks to their strong general reasoning capabilities. However, standard t…
Decoupling Thought from Speech: Knowledge-Grounded Counterfactual Reasoning for Resilient Multi-Agent Argumentation
Jakub MasÅowski, JarosÅaw A. Chudziak
Multi-agent debate frameworks have been shown to improve large language model performance in convergent tasks, but they are currently optimized in a way that heavily favors final o…