Author

Danai Koutra

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Preprint Aug 2026

Preserving Item Semantics for Free: Rethinking Token Initialization in LLM-Based Generative Recommendation

This work proposes a simple, parameter-free intervention that initializes SID token embeddings directly from their corresponding centroids in the semantic embedding space, and shows that preserving SID geometry, beyond shared-prefix structure, provides a simple and effective semantic prior for LLM-based GR.

Donald Loveland, Liam Collins, B. Kumar et al. · 0 citations

#graph neural networks Aug 2026

When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series

This work proposes Graph Layer for Inference in Dynamic En- vironments (GLIDE), a novel GNN layer enhanced by two theoretically grounded design mechanisms that significantly improve learning under dynamic topology while preserving robustness in static scenarios.

Chen Shao, Yue Wang, Zhenyi Zhu et al. · Lecture notes in computer sc... · 0 citations