2 upvotes
LLM agents can shrink tool output to latent vectors
What is Tools Need Not Speak in Text: Latent Context Compression for Agents?
The paper proposes a latent context compression technique that turns raw tool outputs into compact embeddings instead of raw text. This cuts down the token count in multi-step LLM agent interactions, keeping the model focused on what matters.
Who it is for
Developers building LLM agents that call external tools should care because the method reduces context bloat and can improve speed and relevance.