activity
20172026
most citedEvaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

82 citations · 334 across the 53 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

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…

cs.AI2026

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…

cs.AI2024

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…

cs.AI2024

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…

cs.AI2023

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…