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Ditch the expensive LLM judges: BERT-as-a-Judge offers comparable accuracy at a fraction of the compute, finally making reference-based LLM evaluation scalable.
Turns out, you can transform any causal decoder LLM into a state-of-the-art multimodal encoder by adding a prior masking phase and merging weights with specialized models.