32 citations · 65 across the 17 of their papers we have counts for
17 papers
Investigating the Development of Task-Oriented Communication in Vision-Language Models
Boaz Carmeli, Orr Paradise, Shafi Goldwasser +2
We investigate whether \emph{LLM-based agents} can develop task-oriented communication protocols that differ from standard natural language in collaborative reasoning tasks. Our fo…
CtD: Composition through Decomposition in Emergent Communication
Boaz Carmeli, Ron Meir, Yonatan Belinkov
Compositionality is a cognitive mechanism that allows humans to systematically combine known concepts in novel ways. This study demonstrates how artificial neural agents acquire an…
Will it Merge? On The Causes of Model Mergeability
Adir Rahamim, Asaf Yehudai, Boaz Carmeli +3
Model merging has emerged as a promising technique for combining multiple fine-tuned models into a single multitask model without retraining. However, the factors that determine wh…
Unsupervised Translation of Emergent Communication
Ido Levy, Orr Paradise, Boaz Carmeli +3
Emergent Communication (EC) provides a unique window into the language systems that emerge autonomously when agents are trained to jointly achieve shared goals. However, it is diff…
Semantics and Spatiality of Emergent Communication
Rotem Ben Zion, Boaz Carmeli, Orr Paradise +1
When artificial agents are jointly trained to perform collaborative tasks using a communication channel, they develop opaque goal-oriented communication protocols. Good task perfor…
Concept-Best-Matching: Evaluating Compositionality in Emergent Communication
Boaz Carmeli, Yonatan Belinkov, Ron Meir
Artificial agents that learn to communicate in order to accomplish a given task acquire communication protocols that are typically opaque to a human. A large body of work has attem…