Polynomial-Logical-Zonotopes-for-Reachability-Analysis-of-Logical-Systems

MATNet-Multi-Level-Fusion-Transformer-Based-Model-for-Day-Ahead-PV-Generation-Forecasting

Analyzing-Occurrences-of-Patterns-in-Permutations

LPFormer-LiDAR-Pose-Estimation-Transformer-with-Multi-Task-Network

Robust-Statistical-Comparison-of-Random-Variables-with-Locally-Varying-Scale-of-Measurement

BotanicGarden-A-High-Quality-Dataset-for-Robot-Navigation-in-Unstructured-Natural-Environments

The-Parametric-Complexity-of-Operator-Learning-Unveiled

An-Ontological-Approach-to-Compliance-Verification-of-the-NIS-2-Directive


Current language models lack the necessary conceptual representations and grounding to achieve true understanding, despite their impressive performance on language tasks.


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exploring-the-limitations-of-language-models-in-achieving-true-machine-understanding


Exploring the Limitations of Language Models in Achieving True Machine Understanding


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Machine Understanding and the Limitations of Language Models