I am doing PhD on NLP, especially on Efficient LLMs and Robust LLMs evaluation, at University of Surrey, UK.
I am currently a Student Researcher at Microsoft Research.
Publicaitons list at: https://liyucheng09.github.io/
Lightweight tool to identify Data Contamination in LLMs evaluation
I am doing PhD on NLP, especially on Efficient LLMs and Robust LLMs evaluation, at University of Surrey, UK.
I am currently a Student Researcher at Microsoft Research.
Publicaitons list at: https://liyucheng09.github.io/
Hi,
Thanks for putting up this work and all these useful results. I'm particularly interested in LLaMA's contamination, and you mentioned that the corresponding search window for them was 2017 - 2020, different from other models' 2017 - 2023.
I was thus wondering if the reports under reports/
are for 2017 - 2020 or for 2017 - 2023? If it's the latter, are the reports for 2017 - 2020 available at the moment?
Thanks
This is a very interting work. But in Figure 2(b), there seems to be some confusion between the clean and memory icons for llama-7b, 13b, and 30b.
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