François Portet

LLMs that excel at evolutionary search aren't just smart zero-shot reasoners; they're masters of "local refinement," making small, consistent improvements without wandering off into the semantic wilderness.

Bias against certain speaker groups is embedded in self-supervised speech models from the very first layers, complicating efforts to achieve fairness in speech recognition tasks.