Paper-Conference

InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling
For the advancement of time series classification, we can summarize that most existing methods adopt a common learning-to-classify …
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Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information
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Revisiting the Solution of Meta KDD Cup 2024: CRAG
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Recognizing unseen objects via multimodal intensive knowledge graph propagation
Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen objects, is a promising learning paradigm to understand new …
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TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
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Empowering Sequential Recommender Systems from Mixture of Collaborative Signals and Semantic Relatedness
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Learning Recommender Systems with Soft Target: A Decoupled Perspective
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Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
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Unlocking the Potential of Large Language Models for Explainable Recommendations
Generating user-friendly explanations regarding why an item is recommended has become increasingly common, largely due to advances in …
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Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
Large language model evaluation plays a pivotal role in the enhancement of its capacity. Previously, numerous methods for evaluating …
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