AITechRadarabout 2 hours ago
Tsinghua's C2C Links AI Models Directly
4 min read
Tsinghua University researchers published a paper on Cache-to-Cache (C2C), a technique that lets separate AI models exchange internal memory directly, skipping text generation. Accepted at ICLR 2026 with open-source code, it reports 100% to 150% faster inference and up to 14.2% accuracy gains. C2C currently works only with open-weight models.
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