2 papers
cs.CL2026
Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
Matija Luka KukiÄ, Marko Äuljak, David DukiÄ +2
Modern language models (LMs) are trained in an autoregressive manner, conditioned only on the prefix. In contrast, sequence labeling (SL) tasks assign labels to each individual inp…
cs.CL2025
Improving Transfer Learning for Sequence Labeling Tasks by Adapting Pre-trained Neural Language Models
David DukiÄ
This doctoral thesis improves the transfer learning for sequence labeling tasks by adapting pre-trained neural language models. The proposed improvements in transfer learning invol…