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Qidong Liu (Xi&#x27

SIGIR 2026×2KDD 2026检索与知识对齐与偏好多模态推理安全
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0 一作 · 3 篇 · SIGIR 2026 / KDD 2026

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2026 顶会论文

3
作者位次 #4/12SIGIR 2026Oral· Information Retrieval (Full)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

an Jiaotong University) · Shengyu Zhou · Jinyu Lu · Qidong Liu (Xi&#x27 · Xinhang Li · Wenlin Zhang · Feng Li · Pengjie Wang · Chuan Yu · Yundu Huang (Taobao &amp · Zerui Huang (Taobao &amp · an Jiaotong University)

摘要

Generative recommendation (GR) has shown great promise in industrial applications, particularly for candidate generation and end-to-end recommendations. However, existing GR training paradigms suffer from two fundamental mismatches with real-world deployment requirements. First, they optimize for...

对齐与偏好检索与知识多模态OpenReview
作者位次 #2/10SIGIR 2026Oral· Information Retrieval (Full)

LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training

Ziwei Liu · Qidong Liu (Xi&#x27 · an Jiaotong University) · an Jiaotong University) · an Jiaotong University) · an Jiaotong University) · an Jiaotong University) · an Jiaotong University) · an Jiaotong University) · an Jiaotong University)

摘要

Cross-domain Sequential Recommendation (CDSR) has been proposed to enrich user-item interactions by incorporating information from various domains. Despite current progress, the domain imbalance issue and domain transition issue hinder further development of CDSR. The former presents a phenomenon...

检索与知识推理对齐与偏好OpenReview

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