1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering
Philip Müller, Nicholas Popovič, Michael Färber +1
Large Language Models (LLMs) are commonly used in Question Answering (QA) settings, increasingly in the natural sciences if not science at large. Reliable Uncertainty Quantificatio…
cs.CL2022★ 1 cited
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First -- Using Relation Extraction to Identify Entities
Nicholas Popovic, Walter Laurito, Michael Färber
In this paper, we present an end-to-end joint entity and relation extraction approach based on transformer-based language models. We apply the model to the task of linking mathemat…