2 papers
cs.GT2026
Tacit Coordination of Large Language Models
Ido Aharon, Emanuele La Malfa, Michael Wooldridge +1
Large Language Models (LLMs) are increasingly deployed in multi-agent settings that require coordination without communication, from human-AI interaction to safety-critical scenari…
cs.CL2026
Ensemble Self-Training for Unsupervised Machine Translation
Ido Aharon, Jonathan Shaki, Sarit Kraus
We present an ensemble-driven self-training framework for unsupervised neural machine translation (UNMT). Starting from a primary language pair, we train multiple UNMT models that…