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Aditi Raghunathan
Assistant professor of computer science at Carnegie Mellon University. Focuses on the limitations of LLMs and how to build more adaptable and creative models.
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Sep 16, 2025
• 58min
Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747
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In this discussion, Aditi Raghunathan, an assistant professor at Carnegie Mellon University, tackles the limitations of large language models (LLMs). She presents insights from her award-winning paper on enhancing creativity beyond next-token prediction. Aditi introduces the innovative 'Roll the dice' method to foster randomness and 'Look before you leap' for deeper thought processes. The conversation also covers the paradox of 'catastrophic overtraining' and her pursuit of more controllable models through concepts like 'memorization sinks.' Her research aims to reshape our understanding of AI adaptability.
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