Emanuel Sallinger

VADAOrchestra achieves verifiable and adaptable decision-making workflows by seamlessly integrating LLMs with symbolic reasoning, outperforming traditional systems in real-world applications.

Recurrent models can achieve competitive text embedding performance with constant memory usage, challenging the dominance of transformers in long-sequence tasks.