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Articles9
China's Data Center Expansion in Zhangjiakou: Environmental and Social Impacts
voyage-multimodal-3.5: a new multimodal retrieval frontier with video support
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Systematic Evaluation of Deep Learning Optimizers Reveals Limited Speedup Over AdamW in Language Model Pretraining
AdamW has long been the dominant optimizer in language model pretraining, despite numerous claims that alternative optimizers offer 1.4 to 2x speedup. We posit that two methodological shortcomings have obscured fair comparisons and hindered practical adop
Critical Analysis of Chess Complexity Research Methodology
Theoretical Limitations of Vector Embedding Models for Information Retrieval
Vector embeddings have been tasked with an ever-increasing set of retrieval tasks over the years, with a nascent rise in using them for reasoning, instruction-following, coding, and more. These new benchmarks push embeddings to work for any query and any
Hairy Ball Theorem [pdf]
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Efficient Training of Diffusion Models with Token Routing (TREAD)
Diffusion models have emerged as the mainstream approach for visual generation. However, these models typically suffer from sample inefficiency and high training costs. Consequently, methods for efficient finetuning, inference and personalization were qui
Stanford Medicine Study Uncovers Biomolecular Shifts in 40s and 60s
Time marches on predictably, but biological aging is anything but constant, according to a new Stanford Medicine study.
Emergence of Diffusion Models from Associative Memory
Article URL: Comments URL: Points: 3 # Comments: 0

