An Open Source Data Contamination Report for Large Language Models

26 October 2023

Papers citing "An Open Source Data Contamination Report for Large Language Models"

4 / 4 papers shown

Title
Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning Jingcheng Niu Subhabrata Dutta Ahmed Elshabrawy Harish Tayyar Madabushi Iryna Gurevych 31 0 0 16 May 2025
Learning on LLM Output Signatures for gray-box LLM Behavior Analysis Guy Bar-Shalom Fabrizio Frasca Derek Lim Yoav Gelberg Yftah Ziser Ran El-Yaniv Gal Chechik Haggai Maron 69 0 0 18 Mar 2025
PiCO: Peer Review in LLMs based on the Consistency Optimization Kun-Peng Ning Shuo Yang Yu-Yang Liu Jia-Yu Yao Zhen-Hui Liu Yu Wang Ming Pang Li Yuan ALM 71 8 0 24 Feb 2025
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities Ezra Karger Houtan Bastani Chen Yueh-Han Zachary Jacobs Danny Halawi Fred Zhang P. Tetlock 60 7 0 30 Sep 2024