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cs.CL2026
Error-Type-Aware Loss Reweighting for Robust Named Entity Recognition with Noisy LLM Labels
Elena Merdjanovska, Jonas Golde, Alan Akbik
Large language models are increasingly used to annotate datasets for training smaller, task-specialized models such as named entity recognition. While this method yields effective…
cs.CL2026
Self-Aware Knowledge Probing: Evaluating Language Models' Relational Knowledge through Confidence Calibration
Christopher Kissling, Elena Merdjanovska, Alan Akbik
Knowledge probing quantifies how much relational knowledge a language model (LM) has acquired during pre-training. Existing knowledge probes evaluate model capabilities through met…