When OpenAI’s GPT-4 and other large language models (LLMs) first awed the public with fluent text generation, skeptics were quick to point out that producing convincing sentences isn’t the same as ...
This paper describes a neural network design using auxiliary inputs, namely the indicators, that act as the hints to explain the predicted outcome through logical reasoning, mimicking the human ...
This repository serves as a comprehensive analysis of AI systems' visual logical learning abilities on the V-LoL-Train problem. It includes implementations of various models, including symbolic, ...
The pointer value retrieval (PVR) benchmark was recently established by researchers in the paper titled Pointer Value Retrieval: A novel benchmark for exploring the limitations of neural network ...
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