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GaCLLM: Large Language Model with Graph Convolution for Recommendation

Leveraging auxiliary textual data can help with user profiling and item characterization in recommender systems (RSs). However, incomplete user and item descriptions limit the potential of textual information. To this end, we propose a graph-aware convolutional large language model (LLM) method, eliciting LLMs to summa...

Ying-Peng Du, Ziteng Wang, Zhu Sun et al. · 0 citations
#machine learning Preprint Sep 2026

Act First, Reason Later: Accelerating On-Policy Distillation for Multi-Turn Agents via Reference-Conditioned Inverse Dynamics

On-policy distillation (OPD) trains multi-turn language agents with dense teacher supervision on student-generated responses. However, standard think-then-act rollouts require lengthy reasoning before each short action, delaying environment transitions and experience collection. Generating actions directly reduces this...

Zu-Bin Zheng, Jiahao Wu, Shao-Feng Zhang et al. · 1 citation

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