From the 1 of 5 linked papers with an AI index.
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Test-Time Augmentation for LLMs: When Input Diversity Beats Output Diversity at Matched Compute
Nikita Kozodoi, Zainab Afolabi, Jack Butler
Test-time scaling improves LLM accuracy but multiplies inference cost, making the accuracy gained per unit of compute the metric that matters in deployment. Self-consistency is one…
Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs
Nikita Kozodoi, Zainab Afolabi, Jack Butler
The paper investigates how the training duration of domain-specific expert models influences the performance of merged large language models, finding that optimal merging strategie…
ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models
Adrian Mirza, Nawaf Alampara, Martiño RÃos-GarcÃa +12
Foundation models have shown remarkable success across scientific domains, yet their impact in chemistry remains limited due to the absence of diverse, large-scale, high-quality da…