Author

Peiyuan Jiang

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Preprint Oct 2026

DyHist: Query-Aware Historical Dynamics Modeling for Temporal Knowledge Graph Extrapolation

Temporal Knowledge Graph (TKG) extrapolation aims to predict future facts from observed historical events. Existing methods usually achieve this goal by jointly modeling local historical evolution and long-range historical contexts. First, local evolution modeling often summarizes local history into an overall evolving...

Pei-Yuan Jiang, Yao Liu, Yu-Bo Wen et al. · 0 citations

Preprint Aug 2026

Denoising the Future: Context-Aware Spectral Diffusion for Temporal Knowledge Graph Extrapolation

Temporal Knowledge Graph (TKG) extrapolation seeks to infer future facts from time-varying relational histories. Recent diffusion-based approaches improve uncertainty modeling through generative denoising, but their aggregated conditioning on subject histories may insufficiently distinguish query-specific evidence from...

Yang-Lei Gan, Peng He, Run Lin et al. · 0 citations

Preprint Aug 2026

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models

EmoDialogue, a bilingual dataset providing necessary fine-grained supervision through response pairs with rigorously defined EI gradations, and EmoS, a specialized evaluator model optimized via Supervised Fine-Tuning and Group Relative Policy Optimization, are introduced, establishing a foundational framework for advan...

Junyu Wang, Si-Yuan Zhang, Peiyuan Jiang et al. · 1 citation