LLMs reach 95.6% word-sense accuracy on lexEN, versus about 85% for traditional systems. LLM-generated training labels improve smaller models by 2.4–3.4 F1 points on Raganato ALL.
A framework for turning human research hypotheses into parallel, verifiable experiments. Deterministic checks keep experiments isolated and completed work immutable.
How difficult is an English word for a learner with a particular first language? We combine holistic difficulty models with features describing words and learners’ language backgrounds.
