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RW-TTT: Batched Serving for Request-Owned Test-Time Training State

Yang, Jian et al.
arXiv (All) · Papers
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machine-learning
Test-time training (TTT) adapts an LLM during generation by reading and updating request-owned state, such as fast weights, low-rank deltas, or streaming learner state. This breaks batched LLM serving, which assumes shared static weights: serial execution is correct but slow, while naive batching ca
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