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Ruiming Tang
74 papers at tracked venues · 50 at CORE A* · active 2024–2026
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ORCID 0000-0002-9224-2431 ↗
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Venues
ACL
×15
WWW
×14
CIKM
×10
SIGKDD
×7
EMNLP
×5
NeurIPS
×5
RecSys
×4
WSDM
×4
AAAI
×3
ICLR
×3
SIGIR
×3
ECML-PKDD
×1
Frequent coauthors
Pengyue Jia
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Yunjia Xi
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Yuxin Jiang
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Jingtong Gao
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Wenlin Zhang
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×2
Lingyue Fu
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Kuicai Dong
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Kounianhua Du
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Xiangyang Li
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Qingyao Li
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Qiyuan Zhang
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Jizheng Chen
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Papers
DARL: Encouraging Diverse Answers for General Reasoning without Verifiers
ACL 2026
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Chongxuan Huang
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DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
ACL 2026
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Qian Cao
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DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing
ACL 2026
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Hongzhi Zhang
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DiffGRM: Diffusion-based Generative Recommendation Model
WWW 2026
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Zhao Liu
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Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
ACL 2026
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Zhenpeng Su
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Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
SIGKDD 2026
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Wenlin Zhang
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GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework
WWW 2026
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Yijia Sun
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MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
SIGKDD 2026
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Shihao Cai
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Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation
SIGIR 2026
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Yunjia Xi
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OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service
WSDM 2026
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Zhipeng Wei
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OneRec-Think: In-Text Reasoning for Generative Recommendation
ACL 2026
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Zhanyu Liu
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RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
AAAI 2026
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Min Hou
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ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
AAAI 2026
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Xingshan Zeng
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Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
ACL 2026
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Zhiyang Zhang
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Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems
SIGIR 2025
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Renting Rui
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Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
ACL 2025
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Wenjun Li
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AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing
ECML-PKDD 2025
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Lingyue Fu
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An Automatic Graph Construction Framework based on Large Language Models for Recommendation
SIGKDD 2025
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Rong Shan
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Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
NeurIPS 2025
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Kuicai Dong
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Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation
ACL 2025
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Kounianhua Du
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Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
ACL 2025
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Pengyue Jia
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Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
ICLR 2025
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Yuxin Jiang
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CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
NeurIPS 2025
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Rui Li
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CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
ACL 2025
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Xiangyang Li
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CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation
ACL 2025
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Qingyao Li
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Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
ACL 2025
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Qiyuan Zhang
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DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation
ACL 2025
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Jizheng Chen
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Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
SIGIR 2025
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Yunjia Xi
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FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
WWW 2025
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Yufei Ye
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Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
WWW 2025
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Hao Wang
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Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?
EMNLP 2025
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Xiangyang Li
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HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation
WWW 2025
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Xu Huang
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Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
ACL 2025
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Yuxin Jiang
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Joint Modeling in Deep Recommender Systems
WWW 2025
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Pengyue Jia
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LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
CIKM 2025
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Weiming Zhang
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LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
WWW 2025
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Jingtong Gao
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LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models
SIGKDD 2025
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Ruiming Tang
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
SIGKDD 2025
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Yingyi Zhang
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MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
EMNLP 2025
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Kuicai Dong
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MTRec: Learning to Align with User Preferences via Mental Reward Models
NeurIPS 2025
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Mengchen Zhao
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NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging
EMNLP 2025
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Weiming Zhang
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P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
NeurIPS 2025
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Tingjia Shen
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Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
NeurIPS 2025
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Wenlin Zhang
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Prompt Tuning as User Inherent Profile Inference Machine
CIKM 2025
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Yusheng Lu
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RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
EMNLP 2025
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Sashuai Zhou
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RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
EMNLP 2025
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Qingyao Li
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RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
ICLR 2025
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Qiyuan Zhang
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SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
CIKM 2025
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Pengyue Jia
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SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
WWW 2025
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Jingtong Gao
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Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
CIKM 2025
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Xiaopeng Li
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ToolACE: Winning the Points of LLM Function Calling
ICLR 2025
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Weiwen Liu
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AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
RecSys 2024
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Yang Yang
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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
WWW 2024
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Jianghao Lin
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D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024
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Pengyue Jia
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Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
WSDM 2024
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Yuhao Wang
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DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
SIGKDD 2024
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Kounianhua Du
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ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
CIKM 2024
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Jizheng Chen
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ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
SIGKDD 2024
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Pengyue Jia
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FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
RecSys 2024
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Hangyu Wang
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HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning
WWW 2024
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Yifan Liu
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HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
CIKM 2024
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Jingtong Gao
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IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation
WSDM 2024
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Kexin Zhang
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LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
CIKM 2024
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Yuhao Wang
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Learning to Edit: Aligning LLMs with Knowledge Editing
ACL 2024
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Yuxin Jiang
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LightCS: Selecting Quadratic Feature Crosses in Linear Complexity
WWW 2024
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Zhaocheng Du
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M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
WWW 2024
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Jiachen Zhu
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MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
CIKM 2024
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Yunjia Xi
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Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space
RecSys 2024
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Yu Liu
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ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
WWW 2024
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Jianghao Lin
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Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
WWW 2024
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Junjie Huang
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Retrieval-Oriented Knowledge for Click-Through Rate Prediction
CIKM 2024
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Huanshuo Liu
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SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
CIKM 2024
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Lingyue Fu
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Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
RecSys 2024
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Yunjia Xi
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User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation
WSDM 2024
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Hengchang Hu
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