The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication
Tom Kouwenhoven; Max Peeperkorn; Bram van Dijk; Tessa Verhoef · 2024 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Natural language has the universal properties of being compositional and grounded in reality. The emergence of linguistic properties is often investigated through simulations of emergent communication in referential games. However, these experiments have yielded mixed results compared to similar experiments addressing linguistic properties of human language. Here we address representational alignment as a potential contributing factor to these results. Specifically, we assess the representational alignment between agent image representations and between agent representations and input images.
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Metadata source: arXiv