Conveners
Artificial Intelligence
- Peter Levai (WIGNER RCP)
Artificial Intelligence
- Gergely Barnafoldi (Wigner RCP RMI of the Hungarian Academy of Sciences)
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Dr Eszter Udvary (Budapest University of Technology and Economics)21/11/2024, 09:30
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Gábor Érdi-Krausz (HUN-REN SZTAKI)21/11/2024, 09:50
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Antal Jakovác (WIGNER RCP)21/11/2024, 10:25
Mainstream artificial intelligence (AI) solutions, while achieving considerable success in areas such as classification, generation, and natural language understanding, still face several notorious, long-standing challenges. These include unexpected classification errors, hallucinations in generative models, and catastrophic forgetting, among others.
Addressing these issues requires...
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Péter Antal (Budapest University of Technology and Economics)21/11/2024, 11:30
Large language models (LLMs) face challenges with complex
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probabilistic, causal, and counterfactual reasoning, yet they
demonstrate promising capabilities in the automated construction of both
qualitative and quantitative probabilistic and causal models. This talk
provides an overview of current benchmarks for causal reasoning in LLMs,
methods for extracting knowledge from LLMs,... -
Hunor István Lukács (Eötvös University)21/11/2024, 12:00
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Andras Telcs21/11/2024, 12:30
Temporally evolving systems are typically modeled by dynamic equations. A
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key challenge in accurate modeling is understanding the causal relationships between subsystems, as well as identifying the presence and influence of unobserved hidden drivers on the observed dynamics. This paper presents a unified method capable of identifying fundamental causal relationships between pairs of systems,... -
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