How does negative sampling performance vary across different LLM architectures (7B vs 70B) when evaluated on o

Abstract

Abstract: The complexity of multimedia applications in terms of intensity of computation and heterogeneity of treated data led the designers to embark them on multiprocessor systems on chip. The complexity of these systems on one hand and the expectations of the consumers on the other hand complicate the designers job to conceive and supply strong and successful systems in the shortest deadlines. They have to explore the different solutions of the design space and estimate their performances in order to deduce the solution that respects their design constraints. In this context, we propose the modelin

Research Question

How does negative sampling performance vary across different LLM architectures (7B vs 70B) when evaluated on out-of-distribution benchmarks like MRQA 2019, and what is the optimal balance between negative sampling ratio and model scale for domain-agnostic QA performance?

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