T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground Paper • 2512.10430 • Published 15 days ago • 112
Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story Paper • 2511.15210 • Published Nov 19 • 88
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA Paper • 2510.04849 • Published Oct 6 • 114 • 7
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA Paper • 2510.04849 • Published Oct 6 • 114
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models Paper • 2401.00396 • Published Dec 31, 2023 • 5
Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications Paper • 2509.17671 • Published Sep 22 • 10
LettuceDetect: A Hallucination Detection Framework for RAG Applications Paper • 2502.17125 • Published Feb 24 • 12
TinyLettuce Collection This Collection contains our small, Ettin-encoder (https://arxiv.org/abs/2507.11412) based models trained on synthetic and RagTruth data. • 6 items • Updated Aug 31 • 3
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA Paper • 2510.04849 • Published Oct 6 • 114
view article Article LettuceDetect: A Hallucination Detection Framework for RAG Applications Feb 28 • 10