Prospective Interpretation Risk: Principled Communication Control Between LLMs
Large language model (LLM) agentic systems increasingly rely on models communicating with one another, yet existing uncertainty and multi-agent methods rarely estimate how a particular receiver will interpret a message before it is sent. This matters in heterogeneous systems, where capable receivers can reconstruct different tasks from the same message. We model this as a sender-receiver problem with a latent receiver type and define prospective interpretation risk (PIR): the probability that a receiver reconstructs a task other than intended. Rather than model an LLM's full input-output behaviour, we use black-box probes relating messages, intended tasks, and receiver-specific reconstruc...
| Authors | Wanrong Yang, Rehan Deen, Julian Ma et al. |
|---|---|
| Primary category | cs.MA |
| Published | 27 September 2026 |
| Last updated at source | 27 September 2026 |
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