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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…
cs.CL2026
Pro-AI Bias in Large Language Models
Benaya Trabelsi, Jonathan Shaki, Sarit Kraus
Large language models (LLMs) are increasingly employed for decision-support across multiple domains. We investigate whether these models display a systematic preferential bias in f…