2 citations · 5 across the 20 of their papers we have counts for
21 papers
On the Limits of Scale: Inverse Scaling in Vision-Language Models
Rohit Saxena, Alessandro Suglia, Marek Rei +1
Scaling laws suggest that increasing model size, training data, and compute generally yields monotonic performance improvements. While this often holds at the aggregate level, we p…
Explainable Belief Harmonization under Dynamic Epistemic Partitions
Adam Kostka, Jarosław A. Chudziak
Existing approaches to multi-agent belief combination have established mature foundations for combining uncertain beliefs under common assumptions: consensus methods use iterative…
CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures
Jakub Bąba, Jarosław A. Chudziak
Formalizing complex reasoning from natural text is one of the central challenges in computational linguistics. It requires systems to understand not just keywords but also the cont…
Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signal
Michał Wawer, Jarosław A. Chudziak
Multi-agent systems are commonly designed to reduce disagreement through voting, consensus protocols, debate, or fault-tolerant aggregation. We argue that this objective is insuffi…
Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory
Albert Sadowski, Jarosław A. Chudziak
AI agents operating over extended time horizons accumulate experiences that serve multiple concurrent goals, and must often maintain conflicting interpretations of the same events.…
Who Decides What Is Harmful? Content Moderation Policy Through A Multi-Agent Personalised Inference Framework
Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska +1
The increasing scale and complexity of online platforms raises critical policy questions around harmful content, digital well-being, and user autonomy. Traditional content moderati…
Choosing the Lens: Strategic Perspective Activation in Context-Dependent Argumentation
Albert Sadowski, Jarosław A. Chudziak
The same arguments often need to be evaluated under different external regimes. An agent with influence over the regime has a strategic lever that standard formalisms do not direct…
MultiHedge: Adaptive Coordination via Retrieval-Augmented Control
Feliks Bańka, Jarosław A. Chudziak
Decision-making under changing conditions remains a fundamental challenge in many real-world systems. Existing approaches often fail to generalize across shifting regimes and exhib…
Toward Explanatory Equilibrium: Verifiable Reasoning as a Coordination Mechanism under Asymmetric Information
Feliks Bańka, Jarosław A. Chudziak
LLM-based agents increasingly coordinate decisions in multi-agent systems, often attaching natural-language reasoning to actions. However, reasoning is neither free nor automatical…
When AI Agents Disagree Like Humans: Reasoning Trace Analysis for Human-AI Collaborative Moderation
Michał Wawer, Jarosław A. Chudziak
When LLM-based multi-agent systems disagree, current practice treats this as noise to be resolved through consensus. We propose it can be signal. We focus on hate speech moderation…
Multi-Agent Dialectical Refinement for Enhanced Argument Classification
Jakub Bąba, Jarosław A. Chudziak
Argument Mining (AM) is a foundational technology for automated writing evaluation, yet traditional supervised approaches rely heavily on expensive, domain-specific fine-tuning. Wh…
Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
Jakub Masłowski, Jarosław A. Chudziak
Large Language Models (LLMs) are being increasingly used as autonomous agents in complex reasoning tasks, opening the niche for dialectical interactions. However, Multi-Agent syste…
A Natural Language Agentic Approach to Study Affective Polarization
Stephanie Anneris Malvicini, Ewelina Gajewska, Arda Derbent +3
Affective polarization has been central to political and social studies, with growing focus on social media, where partisan divisions are often exacerbated. Real-world studies tend…
Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systems
Adam Kostka, Jarosław A. Chudziak
LLM-based MAS are gaining popularity due to their potential for collaborative problem-solving enhanced by advances in natural language comprehension, reasoning, and planning. Resea…
Financial time series augmentation using transformer based GAN architecture
Andrzej Podobiński, Jarosław A. Chudziak
Time-series forecasting is a critical task across many domains, from engineering to economics, where accurate predictions drive strategic decisions. However, applying advanced deep…
On the Role of Contextual Information and Ego States in LLM Agent Behavior for Transactional Analysis Dialogues
Monika Zamojska, Jarosław A. Chudziak
LLM-powered agents are now used in many areas, from customer support to education, and there is increasing interest in their ability to act more like humans. This includes fields s…
TACLA: An LLM-Based Multi-Agent Tool for Transactional Analysis Training in Education
Monika Zamojska, Jarosław A. Chudziak
Simulating nuanced human social dynamics with Large Language Models (LLMs) remains a significant challenge, particularly in achieving psychological depth and consistent persona beh…
Towards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation
Adam Kostka, Jarosław A. Chudziak
Recently, the field of Multi-Agent Systems (MAS) has gained popularity as researchers are trying to develop artificial intelligence capable of efficient collective reasoning. Agent…
Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent Systems
Monika Zamojska, Jarosław A. Chudziak
Multi-Agent Systems (MAS) are increasingly used to simulate social interactions, but most of the frameworks miss the underlying cognitive complexity of human behavior. In this pape…
AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education
Jarosław A. Chudziak, Adam Kostka
The growing ubiquity of artificial intelligence (AI), in particular large language models (LLMs), has profoundly altered the way in which learners gain knowledge and interact with…
Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System
Adam Kostka, Jarosław A. Chudziak
This paper explores the integration of advanced Multi-Agent Systems (MAS) techniques to develop a team of agents with enhanced logical reasoning, long-term knowledge retention, and…