Disentangling Long-Term Memory via Latent Neuro-Symbolic Reasoning
LGM is presented, a novel neuro-symbolic framework that shifts long-term memory disentanglement into a continuous latent space and significantly outperforms state-of-the-art baselines in capturing both explicit and implicit preferences while enabling personalized responses.
Cai Ke, Xing-Hao Chen, Xiao-Yu Shen et al.
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