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Luna: An Evaluation Foundation Model to Catch Language Model
  Hallucinations with High Accuracy and Low Cost
v1v2 (latest)

Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost

3 June 2024
Masha Belyi
Robert Friel
Shuai Shao
Atindriyo Sanyal
    HILMRALM
ArXiv (abs)PDFHTML

Papers citing "Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost"

5 / 5 papers shown
Title
ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection
ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection
Assaf Gerner
Netta Madvil
Nadav Barak
Alex Zaikman
Jonatan Liberman
...
Yaron Friedman
Neal Harow
Noam Bresler
Shir Chorev
Philip Tannor
HILM
88
1
0
22 Apr 2025
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text
  Generation
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
Ian Poey
Jiajun Liu
Qishuai Zhong
Adrien Chenailler
173
0
0
06 Nov 2024
LOGO -- Long cOntext aliGnment via efficient preference Optimization
LOGO -- Long cOntext aliGnment via efficient preference Optimization
Zecheng Tang
Zechen Sun
Juntao Li
Qiaoming Zhu
Min Zhang
124
6
0
24 Oct 2024
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Gaurav Sahu
Abhay Puri
Juan A. Rodriguez
Alexandre Drouin
Perouz Taslakian
...
Christopher Pal
Nicolas Chapados
I. Laradji
Sai Rajeswar Mudumba
Issam Hadj Laradji
ELM
246
9
0
08 Jul 2024
Ragas: Automated Evaluation of Retrieval Augmented Generation
Ragas: Automated Evaluation of Retrieval Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
ES Shahul
Jithin James
Luis Espinosa-Anke
Steven Schockaert
308
334
0
26 Sep 2023
1