AIBullisharXiv – CS AI · Mar 35/105
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Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents
Researchers propose Dual-Horizon Credit Assignment (DuCA), a new framework for optimizing large language models in industrial sales applications. The method addresses training instability by separately normalizing short-term linguistic rewards and long-term commercial rewards, achieving 6.82% improvement in conversion rates while reducing repetition and detection issues.