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The J-lens reveals that language models operate with a surprisingly sparse causal structure, concentrating energy in specific pathways to predict future outputs.
StreamFlow achieves a remarkable 67.73% accuracy in streaming video understanding while cutting latency and memory usage by over 50%.
Hybridizing autoregressive and speculative decoding, BALANCE boosts task throughput in edge LLM inference while managing latency and memory constraints.
