Papers by Jens Nevens

2 papers
Language Acquisition through Intention Reading and Pattern Finding (2022.coling-1)

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Challenge: a faithful computational operationalisation of the underlying mechanisms is still lacking.
Approach: They propose a mechanistic model of intention reading and its integration with pattern finding capacities to model the intention reading process and their model of pattern finding.
Outcome: The proposed model integrates intention reading and pattern finding processes with linguistic schemata that generalise over form and meaning.
A Benchmark for Recipe Understanding in Artificial Agents (2024.lrec-main)

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Challenge: a benchmark has been designed to evaluate whether artificial agents are able to understand how to perform everyday activities.
Approach: They propose a benchmark task that maps a recipe to a set of cooking actions that are precise enough to be executed in the simulated kitchen.
Outcome: The proposed benchmark consists of mapping a recipe to a set of cooking actions that is precise enough to be executed in the simulated kitchen and yields the desired dish.

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