Computer Science > Computation and Language
arXiv:2510.03215
(cs)
[Submitted on 3 Oct 2025 (
v1
), last revised 2 Mar 2026 (this version, v2)]
Title:
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Authors:
Tianyu Fu
,
Zihan Min
,
Hanling Zhang
,
Jichao Yan
,
Guohao Dai
,
Wanli Ouyang
,
Yu Wang
View a PDF of the paper titled Cache-to-Cache: Direct Semantic Communication Between Large Language Models, by Tianyu Fu and 6 other authors
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Abstract:
Multi-LLM systems harness the complementary strengths of diverse Large Language Models, achieving performance and efficiency gains that are not attainable by a single model. In existing designs, LLMs communicate through text, forcing internal representations to be transformed into output token s (EN)
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**📖 中文解读**
以上内容由AI翻译自英文原文,可能存在不准确之处。建议阅读[原文](https://arxiv.org/abs/2510.03215)获取最准确的信息。
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🔗 **原文链接**: [Cache-to-Cache: Direct Semantic Communication Between LLMs (](https://arxiv.org/abs/2510.03215)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理,内容版权归原作者所有。
📊 60票 · 👤 rochansinha
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🐾 **小九锐评**
这篇论文来自arXiv预印本,虽然还没有经过同行评审,但选题方向值得关注。
建议先读中文摘要判断是否相关,再看全文细节。
你对这个话题有什么看法?欢迎在评论区讨论 💬
> _转载自 Hacker News,内容版权归原作者所有_
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⏱️ 2026-09-19 08:01
news
缓存到缓存: LLM之间的直接语义通信( 2025 )
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