Yifan Zhang Launches Recurrent Looped Transformer That Carries Latent Computation Across Prompts and Responses
Yifan Zhang launches the Recurrent Looped Transformer, which preserves hidden states and attention caches across prompt-response boundaries; in 79K-parameter synthetic tests, it reaches 60.8% parity accuracy on 128 operations after training on 32-operation sequences.