1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Measuring the Groundedness of Legal Question-Answering Systems
Dietrich Trautmann, Natalia Ostapuk, Quentin Grail +4
In high-stakes domains like legal question-answering, the accuracy and trustworthiness of generative AI systems are of paramount importance. This work presents a comprehensive benc…
cs.CL2024★ 1 cited
Can't Remember Details in Long Documents? You Need Some R&R
Devanshu Agrawal, Shang Gao, Martin Gajek
Long-context large language models (LLMs) hold promise for tasks such as question-answering (QA) over long documents, but they tend to miss important information in the middle of c…