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Xiaoxi Cui

AAAI 2026×2SIGIR 2026效率与系统推理对齐与偏好
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1 一作 · 3 篇 · AAAI 2026 / SIGIR 2026

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2026 顶会论文

3
作者位次 #2/4SIGIR 2026Oral· Information Retrieval (Full)

Think, But Don't Tell: Implicit Reasoning for LLM-based Sequential Recommendation via Multi-Teacher Distillation

Weihai Lu · Xiaoxi Cui · Chenke Yin (Xi&#x27 · an Jiaotong-Livepool University)

摘要

Large Language Models (LLMs) demonstrate significant potential in sequential recommendation, and leveraging their Chain-of-Thought (CoT) reasoning capabilities can further unlock profound user preference understanding. However, deploying explicit CoT reasoning in real-world systems faces prohibit...

推理效率与系统对齐与偏好OpenReview
一作AAAI 2026Poster· Artificial Intelligence

De-collapsing User Intent: Adaptive Diffusion Augmentation with Mixture-of-Experts for Sequential Recommendation

Xiaoxi Cui · Chao Zhao · Yurong Cheng · Xiangmin Zhou

效率与系统OpenReview
作者位次 #2/2AAAI 2026Poster· Artificial Intelligence

DEALT: LLM-driven Diversity-Enhanced Data Augmentation for Long-Tail Text Classification

Wayne Lu · Xiaoxi Cui

常见合作者