82 citations · 334 across the 53 of their papers we have counts for
5 papers · 1 filter
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…
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…
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld +1
Recent studies show that instruction tuning (IT) and reinforcement learning from human feedback (RLHF) improve the abilities of large language models (LMs) dramatically. While thes…