Author

Alan Akbik

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#natural language process... Preprint Aug 2026

Error-Type-Aware Loss Reweighting for Robust Named Entity Recognition with Noisy LLM Labels

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 models, it assumes that the synthetic dataset is correctly annotated. In this work, we find that (i) current fine-tuning processes simply ig...

Elena Merdjanovska, Jonas Golde, Alan Akbik · 0 citations

Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs

The experimental results show that even 130M-parameter models benefit from including the MTP task in the pre-training objective, and hold even under severe data constraints, as demonstrated on both zero-shot benchmarks and downstream tasks.

Ansar Aynetdinov, Alan Akbik · 1 citation