HybridThinker: Efficient Chain-of-Thought Reasoning via Compressed Memory and Transient Thought Steps 事件

HybridThinker: Efficient Chain-of-Thought Reasoning via Compressed Memory and Transient Thought Steps arXiv:2606.03768v1 Announce Type: new Abstract: Extended chain-of-thought (CoT) traces improve LLM reasoning but incur substantial computational and memory costs. While existing CoT compression methods mitigate this by condensing thought steps into compact representations via memory tokens and retaining only these representations at inference time, the loss of fine-grained information makes sub