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Preprint Sep 2026

KUAISHOU Explorer LLM-Rec Challenge 2026: Reasoning Generative Recommendation

A series of models are explored that connect item Semantic IDs with natural language in a unified representation space and seek to unlock the potential of natural-language chain-of-thought (CoT) reasoning for recommendation, including OneReason.

Jiang-Xia Cao, Hao Peng, Wen-Long Xu et al. · 0 citations
#machine learning Preprint Sep 2026

ProMeta: Few-shot PROTAC-targeted degradation prediction across E3 ligases

ProMeta, a prototype-based graph neural network trained through episodic meta-learning on source-E3 tasks and evaluated on held-out target-E3 tasks through support-conditioned inference, is presented as a practical framework for cross-ligase few-shot prediction under the evaluated support/query protocols.

Yuansheng Liu, Yu-Fei Ye, Tao Tang et al. · 0 citations

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