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In this video, I dive into the controversy surrounding the Leaderboard Illusion paper and what it reveals about systematic flaws in LLM benchmarks—especially Chatbot Arena. As someone who’s followed the evolution of these leaderboards closely, I was shocked by the extent of data access disparities and selective reporting. This is a wake-up call for the entire AI community.
LINKS:
https://arxiv.org/pdf/2504.20879
https://lmarena.ai/?leaderboard
https://blog.lmarena.ai/blog/2025/two-year-celebration/
https://techcrunch.com/2024/09/05/the-ai-industry-is-obsessed-with-chatbot-arena-but-it-might-not-be-the-best-benchmark/?guccounter=1#:~:text=Bias%2C%20and%20lack%20of%20transparency
https://www.vktr.com/ai-market/the-benchmark-trap-why-ais-favorite-metrics-might-be-misleading-us/
https://arcprize.org/arc-agi#arc-agi-1
https://www.lesswrong.com/posts/8ZgLYwBmB3vLavjKE/some-lessons-from-the-openai-frontiermath-debacle
https://epoch.ai/frontiermath
https://x.com/random_walker/status/1917516403977994378
https://x.com/karpathy/status/1917546757929722115
https://x.com/alexalbert__/status/1916878483390869612
https://x.com/lmarena_ai/status/1917492084359192890
https://blog.lmarena.ai/blog/2025/two-year-celebration/
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00:00 Introduction to The Leaderboard Illusion
01:02 Understanding LM Arena
02:05 The LAMA Four Controversy
03:17 Systematic Issues in Benchmarks
09:05 Community Reactions and Criticisms
15:39 LM Arena Team’s Response
20:33 Conclusion and Final Thoughts Read More Prompt Engineering
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