Adrian Paschke

LLMs exhibit systematic biases in classifying inverse relations, revealing that they struggle with direction-dependent semantics more than previously understood.

Fine-tuning a model on a translated dataset can boost F1 scores by over 22 points, making it a game-changer for low-resource language tasks.