Hugging Face Trending Papers
LatCom: Cross-Agent Latent Compression for Efficient Multi-Agent Collaboration
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arXiv Computation and Language
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LatCom: Cross-Agent Latent Compression for Efficient Multi-Agent Collaboration
arXiv:2609.37017v1 Announce Type: new Abstract: LLM-based multi-agent systems (MAS) increasingly use latent collaboration to avoid the information loss and repeated encoding-decoding overhead of natu...
arXiv AI
Jun 2
Latent Collaboration in Multi-Agent Systems
arXiv:2511. 20639v3 Announce Type: replace-cross Abstract: Multi-agent systems (MAS) extend large language models (LLMs) from independent single-model reasoning to coordinative system-level intelligence.
arXiv AI
Aug 13
XBridge: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication
arXiv:2608. 11676v1 Announce Type: new Abstract: Heterogeneous multi-agent LLM systems, where agents are powered by different model families, can outperform homogeneous configurations by reducing redundant reasoning patterns.
arXiv AI
Jul 14
Enabling Agents to Communicate Entirely in Latent Space
arXiv:2511. 09149v5 Announce Type: replace-cross Abstract: While natural language is the de facto communication medium for LLM-based agents, it presents a fundamental constraint.
arXiv AI
Jun 8
Dual Latent Memory for Visual Multi-agent System
arXiv:2602. 00471v2 Announce Type: replace Abstract: While Visual Multi-Agent Systems (VMAS) promise to enhance comprehensive abilities through inter-agent collaboration, empirical evidence reveals a counter-intuitive "scaling wall": increasing agent turns often degrades performance while exponentially inflating token costs.
arXiv AI
Aug 14
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems
arXiv:2608. 13317v1 Announce Type: new Abstract: Large language model based multi-agent systems usually communicate in text, i.