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cs.AI2026
SimDiff: Depth Pruning via Similarity and Difference
Yuli Chen, Shuhao Zhang, Fanshen Meng +4
Depth pruning improves the deployment efficiency of large language models (LLMs) by identifying and removing redundant layers. A widely accepted standard for this identification pr…
cs.AI2026
Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction
Xiang Li, Jiabao Gao, Sipei Lin +5
The pursuit of human-like conversational agents has long been guided by the Turing test. For modern speech-to-speech (S2S) systems, a critical yet unanswered question is whether th…