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cs.CL2025
Liars' Bench: Evaluating Lie Detectors for Language Models
Kieron Kretschmar, Walter Laurito, Sharan Maiya +1
Prior work has introduced techniques for detecting when large language models (LLMs) lie, that is, generate statements they believe are false. However, these techniques are typical…
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…