Papers by Xenia Ohmer

2 papers
Agents generalize to novel levels of abstraction by using adaptive linguistic strategies (2025.findings-acl)

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Challenge: Abstract: Abstracts are fundamental to building well-generalizing models.
Approach: They propose to use a concept-level reference game to generalize concepts . they find that agents can learn robust concepts based on which they can generalize .
Outcome: The proposed model can generalize from generic to very specific concepts, while reusing many messages from training.
Emergence of Hierarchical Reference Systems in Multi-agent Communication (2022.coling-1)

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Challenge: a hierarchical reference system allows the selection of the most appropriate level of specificity for a given context.
Approach: They propose a hierarchical reference game to study the emergence of hierarchic reference systems in artificial agents.
Outcome: The proposed game shows that agents can generalize to new concepts . the hierarchical reference game is based on a simplified world .

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