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From Markov to Laplace: How Mamba In-Context Learns Markov Chains
While transformer-based language models have driven the AI revolution thus far, their
computational complexity has spurred growing interest in viable alternatives, such as …
computational complexity has spurred growing interest in viable alternatives, such as …
Transformers Handle Endogeneity in In-Context Linear Regression
We explore the capability of transformers to address endogeneity in in-context linear
regression. Our main finding is that transformers inherently possess a mechanism to handle …
regression. Our main finding is that transformers inherently possess a mechanism to handle …