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            <namePart type="given">Kilian</namePart>
            <namePart type="family">Evang</namePart>
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            <namePart type="given">Laura</namePart>
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            <namePart type="given">Sylvain</namePart>
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    <abstract>We explore how neural network-based agents learn to map continuous sensory input to discrete linguistic symbols through interactive language games. One agent describes objects in 3D scenes using invented vocabulary; the other interprets references based on attributes like shape, color, and size. Learning is guided by feedback from successful interactions. We extend the CLEVR dataset with more complex scenes to study how increased referential complexity impacts language acquisition and symbol grounding in artificial agents.</abstract>
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%0 Conference Proceedings
%T Learning to Refer: How Scene Complexity Affects Emergent Communication in Neural Agents
%A Künkele, Dominik
%A Dobnik, Simon
%Y Evang, Kilian
%Y Kallmeyer, Laura
%Y Pogodalla, Sylvain
%S Proceedings of the 16th International Conference on Computational Semantics
%D 2025
%8 September
%I Association for Computational Linguistics
%C Düsseldorf, Germany
%@ 979-8-89176-316-6
%F kunkele-dobnik-2025-learning
%X We explore how neural network-based agents learn to map continuous sensory input to discrete linguistic symbols through interactive language games. One agent describes objects in 3D scenes using invented vocabulary; the other interprets references based on attributes like shape, color, and size. Learning is guided by feedback from successful interactions. We extend the CLEVR dataset with more complex scenes to study how increased referential complexity impacts language acquisition and symbol grounding in artificial agents.
%U https://aclanthology.org/2025.iwcs-main.25/
%P 289-297

Markdown (Informal)

[Learning to Refer: How Scene Complexity Affects Emergent Communication in Neural Agents](https://aclanthology.org/2025.iwcs-main.25/) (Künkele & Dobnik, IWCS 2025)

• Learning to Refer: How Scene Complexity Affects Emergent Communication in Neural Agents (Künkele & Dobnik, IWCS 2025)

ACL

• Dominik Künkele and Simon Dobnik. 2025. Learning to Refer: How Scene Complexity Affects Emergent Communication in Neural Agents. In Proceedings of the 16th International Conference on Computational Semantics, pages 289–297, Düsseldorf, Germany. Association for Computational Linguistics.