7 citations · 24 across the 31 of their papers we have counts for
7 papers · 1 filter
Large Language Models are Miscalibrated In-Context Learners
Chengzu Li, Han Zhou, Goran Glavaš +2
When adapting ICL with or without fine-tuning, we are curious about whether the instruction-tuned language model is able to achieve well-calibrated results without suffering from t…
Linking Surface Facts to Large-Scale Knowledge Graphs
Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung +2
Open Information Extraction (OIE) methods extract facts from natural language text in the form of ("subject"; "relation"; "object") triples. These facts are, however, merely surfac…
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual Transfer
Fabian David Schmidt, Ivan Vulić, Goran Glavaš
Multilingual language models enable zero-shot cross-lingual transfer (ZS-XLT): fine-tuned on sizable source-language task data, they perform the task in target languages without la…
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Gregor Geigle, Abhay Jain, Radu Timofte +1
Modular vision-language models (Vision-LLMs) align pretrained image encoders with (frozen) large language models (LLMs) and post-hoc condition LLMs to `understand' the image input.…
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
Fabian David Schmidt, Ivan Vulić, Goran Glavaš
Massively multilingual language models have displayed strong performance in zero-shot (ZS-XLT) and few-shot (FS-XLT) cross-lingual transfer setups, where models fine-tuned on task…
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…
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese
Vésteinn Snæbjarnarson, Annika Simonsen, Goran Glavaš +1
Multilingual language models have pushed state-of-the-art in cross-lingual NLP transfer. The majority of zero-shot cross-lingual transfer, however, use one and the same massively m…