24 citations · 38 across the 12 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CL2023★ 1 cited
: Improving Factuality of Information-Seeking Dialogue via Behavioural Fine-Tuning
Evgeniia Razumovskaia, Ivan Vulić, Pavle Marković +4
Factuality is a crucial requirement in information seeking dialogue: the system should respond to the user's queries so that the responses are meaningful and aligned with the knowl…
cs.CL2023
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
Evgeniia Razumovskaia, Goran Glavaš, Anna Korhonen +1
Task-oriented dialogue (ToD) systems help users execute well-defined tasks across a variety of domains (e.g., or ), with their Nat…
cs.CL2023
Transfer-Free Data-Efficient Multilingual Slot Labeling
Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen
Slot labeling (SL) is a core component of task-oriented dialogue (ToD) systems, where slots and corresponding values are usually language-, task- and domain-specific. Therefore, ex…