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cs.CL2026
Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
Matija Luka Kukić, Marko Čuljak, David Dukić +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.CL2023
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
Josip Jukić, Jan Šnajder
Pre-trained language models (PLMs) have ignited a surge in demand for effective fine-tuning techniques, particularly in low-resource domains and languages. Active learning (AL), a…
cs.CL2023
Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection
David Dukić, Kiril Gashteovski, Goran Glavaš +1
Event detection is a crucial information extraction task in many domains, such as Wikipedia or news. The task typically relies on trigger detection (TD) -- identifying token spans…