Data Contamination Calibration for Black-box LLMs

20 May 2024

Papers citing "Data Contamination Calibration for Black-box LLMs"

6 / 6 papers shown

Title
Fine-tuning can Help Detect Pretraining Data from Large Language Models H. Zhang Songxin Zhang Bingyi Jing Hongxin Wei 34 0 0 09 Oct 2024
Don't Make Your LLM an Evaluation Benchmark Cheater Kun Zhou Yutao Zhu Zhipeng Chen Wentong Chen Wayne Xin Zhao Xu Chen Yankai Lin Ji-Rong Wen Jiawei Han ELM 105 136 0 03 Nov 2023
"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data Orion Weller Marc Marone Nathaniel Weir Dawn J Lawrie Daniel Khashabi Benjamin Van Durme HILM 66 44 0 22 May 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 223 4,424 0 23 Jan 2020