c2c
c2c is [ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models" - thu-nics/C2C. It is ranked #467 on the AI Radar, in AI research, first seen 14 h ago and shared in 1 post (627 views).
GitHub - thu-nics/C2C: [ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models" · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} thu-nics / C2C Public Notifications You must be signed in to change notification settings Fork 79 Star 616 main Branches Tags Go to…
What people said about c2c on X
AI 之间可能根本不需要说人话。 现在很多多 Agent 系统，一个模型读完资料，写一份总结交给另一个，后者再读一遍，重新理解。总结短了怕漏信息，长了又得等它慢慢生成，还费 token。 两个模型合作，中间这份小作文真的必须写吗？ 清华等团队做的 Cache-to-Cache（C2C），就尝试省掉这一步。模型处理上下文时，会在内部留下 KV-Cache，保存一部分计算结果。C2C 通过训练好的转换模块，把一个模型的缓存转换、融合进另一个模型，让对方直接利用这些内部表示。 论文实验里，相比通过文字交流，这种方式平均有约 2.5× 的加速，准确率也更高。…
— @ScarletKc, 14 h ago · 8 likes · see the post
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c2c in numbers
- Rank on the AI Radar: #467 of 1321
- Shared in 1 post by 1 account: @ScarletKc
- 627 views on those posts
- First seen 14 h ago, last shared 14 h ago
- Pricing seen by Jev: open source
- Market: AI research
FAQ
What is c2c?
[ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models" - thu-nics/C2C It was first shared on X 14 h ago and is ranked #467 on the AI Radar.
Is c2c free?
It is open source.
Who shared c2c?
1 account on X, including @ScarletKc, in 1 post totalling 627 views.
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 31.3k posts from 4.7k X accounts over the last 14 days, 1.3k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 21:10 UTC. Full method.