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SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens

arXiv — cs.CL•Thursday, October 30, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new study introduces SemCoT, a method designed to enhance Chain-of-Thought (CoT) reasoning by using implicit tokens. This innovation addresses the challenges of verbosity in CoT, making it more efficient for applications that require quick decision-making. By encoding reasoning steps within the hidden layers of large language models (LLMs), SemCoT reduces the length of reasoning processes and improves overall performance. This advancement is significant as it could lead to broader adoption of CoT reasoning in various fields, ultimately enhancing the capabilities of AI systems.
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