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Tool-Empowered Implicit CoT Cuts Reasoning Tokens in LLM Agents
What is TAC-CoT: Tool-Empowered Implicit Chain-of-Thought via Interleaving Explicit Tokens?
TAC-CoT lets large language models keep their chain-of-thought hidden while sprinkling in special tokens that trigger external tools. This reduces the amount of text the model has to generate, speeding up multi-step reasoning tasks.
Who it is for
Developers building LLM-based assistants should care because it lowers token costs and latency without sacrificing tool-driven reasoning.
How to try it
Visit the Hugging Face paper page for code and a demo link.