Exploring Collaboration between a language and a non-language agent
To solve LLM collaboration with non-language agents, latent state internalization is introduced, which projects the subagent's continuous representations directly into the LLM's token stream as learned state tokens, with dynamic re-encoding as actions advance the environment state.
Harini S.I., Somesh Singh, Yaman Kumar Singla et al.
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