This episode summarizes: Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs using Semantic Space by Zhiliang Chen Et.al.
Submitted on: 14th March 2025 https://arxiv.org/abs/2503.11586
SCOPE leverages the semantic understanding of conversations to learn models of conversational transitions and rewards within a continuous semantic space. By predicting how conversations evolve semantically and the associated rewards, SCOPE can select optimal LLM responses that maximize long-term conversation quality.
