1 citations · 1 across the 4 of their papers we have counts for
4 papers
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
Nicholas Popovič, Michael Färber
Recent works in Natural Language Inference (NLI) and related tasks, such as automated fact-checking, employ atomic fact decomposition to enhance interpretability and robustness. Fo…
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
Israfel Salazar, Manuel Fernández Burda, Shayekh Bin Islam +42
The evaluation of vision-language models (VLMs) has mainly relied on English-language benchmarks, leaving significant gaps in both multilingual and multicultural coverage. While mu…
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
Michael Färber, Nicholas Popovic
In this paper, we propose Vocab-Expander at https://vocab-expander.com, an online tool that enables end-users (e.g., technology scouts) to create and expand a vocabulary of their d…
Few-Shot Document-Level Relation Extraction
Nicholas Popovic, Michael Färber
We present FREDo, a few-shot document-level relation extraction (FSDLRE) benchmark. As opposed to existing benchmarks which are built on sentence-level relation extraction corpora,…