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Yaokun Liu

SIGIR 2026×2NeurIPS 2026数据与预训练推理多模态检索与知识对齐与偏好
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0 一作 · 3 篇 · SIGIR 2026 / NeurIPS 2026

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2026 顶会论文

3
作者位次 #2/7SIGIR 2026Oral· Information Retrieval (Full)

Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation

Yifan Liu · Yaokun Liu · Zelin Li · Zhenrui Yue · Ruichen Yao · Yang Zhang · Dong Wang

摘要

Recent advances in generative recommenders adopt a two-stage paradigm: items are first tokenized into semantic IDs using a pretrained tokenizer, and then large language models (LLMs) are trained to generate the next item via sequence-to-sequence modeling. However, these two stages are optimized f...

数据与预训练检索与知识对齐与偏好OpenReview
作者位次 #4/8SIGIR 2026Oral· Information Retrieval (Full)

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation

Gyuseok Lee · Wonbin Kweon · Zhenrui Yue · Yaokun Liu · Yifan Liu · Susik Yoon · Dong Wang · SeongKu Kang

摘要

Large language models (LLMs) have enhanced conventional recommendation models via user profiling, which generates representative textual profiles from users' historical interactions. However, their direct application to session-based recommendation (SBR) remains challenging due to severe session...

效率与系统安全数据与预训练OpenReview

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