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most citedTo Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis

20 citations · 82 across the 18 of their papers we have counts for

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cs.AI2024

MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures

Jinjie Ni, Yifan Song, Deepanway Ghosal +10

Perceiving and generating diverse modalities are crucial for AI models to effectively learn from and engage with real-world signals, necessitating reliable evaluations for their de…