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Found 5 papers, 2 papers with code
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
Graph neural networks (GNNs) are widely used in regression and classification problems applied to text, in areas such as sentiment analysis and medical decision-making processes.
Location retrieval using visible landmarks based qualitative place signatures
After dividing the space into place cells each with individual signatures attached, a coarse-to-fine location retrieval method is proposed to efficiently identify the possible location(s) of viewers based on their qualitative observations.
Code Simulation Challenges for Large Language Models
We investigate the extent to which Large Language Models (LLMs) can simulate the execution of computer code and algorithms.
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
Reasoning about asynchronous plans is challenging since it requires sequential and parallel planning to optimize time costs.
Categorisation, Typicality & Object-Specific Features in Spatial Referring Expressions
Various accounts of cognition and semantic representations have highlighted that, for some concepts, different factors may influence category and typicality judgements.
