Are Large Language Models really learning something or Not ?

In this video, we dive into the paper "When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards." We'll explore how minor changes in benchmark setups can drastically alter the rankings of LLMs, why this happens, and what best practices can be implemented for more robust evaluations. Don't miss out on understanding the pitfalls of relying solely on leaderboard rankings for model selection!
Link to the paper: arxiv.org/abs/...
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