LAMB: Latent Multi-Hypothesis Beliefs for Long-Horizon Large Language Agents
arXiv:2610.26955v1 Announce Type: new Abstract: Long-horizon language agents require compact memories that retain interaction evidence while preserving competing hypotheses about unobserved states. Although effective, many belief-state methods encode memory in discrete natural language, where repeat
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen