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Ruiming Tang

  1. Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity
    2025/05/27 by Yehui Tang, Xiaosong Li, Tang, Yehui +41 · 22 voices · 3 citations
    #cs.CL
  2. Understanding the planning of LLM agents: A survey
    2024/02/05 by Xu Huang, Weiwen Liu, Huang, Xu +15 · 1 voice · 113 citations
    Computer Science · #Multi-Agent Systems and Negotiation #cs.AI #cs.CL #cs.LG
  3. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
    2017/03/13 by Huifeng Guo, Guo, Huifeng, Ruiming Tang +7 · 126 citations
    Computer Science · #Recommender Systems and Techniques #Image Retrieval and Classification Techniques #Advanced Image and Video Retrieval Techniques
  4. How Can Recommender Systems Benefit from Large Language Models: A Survey
    2023/06/09 by Jianghao Lin, Xinyi Dai, Lin, Jianghao +22 · 31 citations
    Computer Science · #Recommender Systems and Techniques #Topic Modeling #Advanced Graph Neural Networks
  5. ToolACE: Winning the Points of LLM Function Calling
    2024/09/02 by Weiwen Liu, Xu Huang, Liu, Weiwen +51 · 49 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
  6. ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
    2023/08/22 by Jianghao Lin, Lin, Jianghao, Rong Shan +15 · 21 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  7. GUI Agents with Foundation Models: A Comprehensive Survey
    2024/11/07 by Shuai Wang, Wang, Shuai, Weiwen Liu +20 · 35 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Data Management and Algorithms #FOS: Computer and information sciences #Human Motion and Animation #Human-Computer Interaction (cs.HC) #Robotic Path Planning Algorithms
  8. How Can Recommender Systems Benefit from Large Language Models: A Survey
    2024/07/13 by Jianghao Lin, Xinyi Dai, Yunjia Xi +11 · 22 citations
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Topic Modeling
  9. LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
    2024/06/18 by Jingtong Gao, Gao, Jingtong, Bo Chen +15 · 20 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Text and Document Classification Technologies #Topic Modeling
  10. Diffusion Augmentation for Sequential Recommendation
    2023/09/22 by Qidong Liu, Fan Yan, Liu, Qidong +11 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  11. Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
    2018/07/01 by Yanru Qu, Bohui Fang, Qu, Yanru +13 · 7 citations
    Computer Science · #Recommender Systems and Techniques #Machine Learning and ELM #Advanced Graph Neural Networks
  12. CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
    2024/07/03 by Xiangyang Li, Kuicai Dong, Li, Xiangyang +12 · 15 citations
    Computer Science · #Advanced Computational Techniques and Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  13. CTRL: Connect Collaborative and Language Model for CTR Prediction
    2023/06/05 by Xiang‐Yang Li, Bo Chen, Li, Xiangyang +5 · 10 citations
    Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining
  14. Multi-Level Interaction Reranking with User Behavior History
    2022/04/20 by Yunjia Xi, Weiwen Liu, Xi, Yunjia +15 · 7 citations
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Advanced Bandit Algorithms Research
  15. From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
    2025/04/22 by Yaxiong Wu, Wu, Yaxiong, Sheng Liang +13 · 21 citations
    Computer Science · #Reinforcement Learning in Robotics
  16. A Survey on User Behavior Modeling in Recommender Systems
    2023/02/22 by Zhicheng He, He, Zhicheng, Weiwen Liu +11 · 8 citations
    Computer Science · Social Sciences · #Digital Marketing and Social Media #FOS: Computer and information sciences #H.0 #Human Mobility and Location-Based Analysis #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
  17. IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System
    2022/10/18 by Xiang‐Yang Li, Li, Xiangyang, Bo Chen +22 · 7 citations
    Computer Science · Physics and Astronomy · #Advanced Text Analysis Techniques #Sentiment Analysis and Opinion Mining #Complex Network Analysis Techniques
  18. A Survey on Multi-Turn Interaction Capabilities of Large Language Models
    2025/01/17 by Chen Zhang, Xinyi Dai, Zhang, Chen +10 · 15 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  19. ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
    2023/10/13 by Jianghao Lin, Bo Chen, Lin, Jianghao +17 · 7 citations
    Computer Science · #Topic Modeling #Recommender Systems and Techniques #Text Readability and Simplification
  20. Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
    2020/06/18 by Sijin Zhou, Xinyi Dai, Zhou, Sijin +13 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques
  21. A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
    2023/12/17 by Zichuan Fu, Xiang‐Yang Li, Fu, Zichuan +15 · 7 citations
    Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Expert finding and Q&A systems
  22. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
    2025/05/20 by Wenlin Zhang, Zhang, Wenlin, Xiangyang Li +21 · 19 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Multimodal Machine Learning Applications #Topic Modeling
  23. MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
    2024/07/06 by Yunjia Xi, Xi, Yunjia, Weiwen Liu +11 · 7 citations
    Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  24. Optimal Transport for Treatment Effect Estimation
    2023/10/27 by Hao Wang, Zhichao Chen, Wang, Hao +17 · 6 citations
    Mathematics · #Advanced Causal Inference Techniques #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  25. MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
    2025/01/15 by Kuicai Dong, Dong, Kuicai, Chang, Yujing +8 · 10 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Semantic Web and Ontologies
  26. ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table
    2021/04/17 by Huifeng Guo, Guo, Huifeng, Wei Guo +9 · 3 citations
    Computer Science · Social Sciences · #Advanced Computing and Algorithms #Artificial Intelligence (cs.AI) #Caching and Content Delivery #Distributed #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Parallel #Recommender Systems and Techniques #and Cluster Computing (cs.DC)
  27. Entropy Law: The Story Behind Data Compression and LLM Performance
    2024/07/09 by Mingjia Yin, Chuhan Wu, Yin, Mingjia +17 · 7 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · #Advanced Data Storage Technologies #Auction Theory and Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Financial Distress and Bankruptcy Prediction #Machine Learning (cs.LG)
  28. PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
    2022/03/23 by Yi Li, Li, Yi, Jieming Zhu +15 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Expert finding and Q&A systems #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
  29. ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop
    2023/06/15 by Jieming Zhu, Guohao Cai, Zhu, Jieming +9 · 4 citations
    Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques
  30. Learning to Edit: Aligning LLMs with Knowledge Editing
    2024/02/19 by Yuxin Jiang, Yufei Wang, Jiang, Yuxin +20 · 5 citations
    Computer Science · #Library Science and Information Systems
  31. Multi-Task Deep Recommender Systems: A Survey
    2023/02/07 by Yuhao Wang, Wang, Yuhao, Ha Tsz Lam +15 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
  32. SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
    2024/12/23 by Xiaopeng Li, Li, Xiaopeng, Xiangyang Li +15 · 7 citations
    Computer Science · #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Information Retrieval (cs.IR)
  33. RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
    2024/09/15 by Qingyao Li, Wei Xia, Li, Qingyao +13 · 7 citations
    Computer Science · #Natural Language Processing Techniques
  34. AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
    2020/03/25 by Bin Liu, Chenxu Zhu, Liu, Bin +15 · 4 citations
    Computer Science · #Caching and Content Delivery #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Web Data Mining and Analysis
  35. Multi-Graph Convolution Collaborative Filtering
    2020/01/01 by Jianing Sun, Yingxue Zhang, Sun, Jianing +11 · 2 citations
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Caching and Content Delivery
  36. Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
    2023/05/02 by Yuening Wang, Yingxue Zhang, Wang, Yuening +11 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques
  37. Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation
    2023/06/07 by Xianyu Chen, Chen, Xianyu, Jian Shen +21 · 3 citations
    Computer Science · #Recommender Systems and Techniques #Educational Technology and Assessment #Online Learning and Analytics
  38. MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction
    2021/11/30 by Wei Guo, Guo, Wei, Can Zhang +15 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  39. Neural Re-ranking in Multi-stage Recommender Systems: A Review
    2022/02/14 by Weiwen Liu, Liu, Weiwen, Yunjia Xi +13 · 2 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #H.0 #Information Retrieval (cs.IR) #Machine Learning and ELM #Recommender Systems and Techniques
  40. ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems
    2022/04/24 by Guohao Cai, Cai, Guohao, Jieming Zhu +11 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  41. FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
    2025/02/05 by Yufei Ye, Wei-Feng Guo, Ye, Yufei +19 · 7 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  42. Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
    2024/03/06 by Hangyu Wang, Jianghao Lin, Wang, Hangyu +11 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  43. DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
    2018/04/12 by Huifeng Guo, Ruiming Tang, Guo, Huifeng +9 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Topic Modeling
  44. WESE: Weak Exploration to Strong Exploitation for LLM Agents
    2024/04/11 by Xu Huang, Weiwen Liu, Huang, Xu +13 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  45. Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
    2024/08/07 by Jiachen Zhu, Jianghao Lin, Zhu, Jiachen +15 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  46. A Survey of Personalization: From RAG to Agent
    2025/04/14 by Xiaopeng Li, Li, Xiaopeng, Pengyue Jia +26 · 7 citations
    Computer Science · #Distributed and Parallel Computing Systems
  47. A Graph-Enhanced Click Model for Web Search
    2022/06/17 by Jianghao Lin, Lin, Jianghao, Weiwen Liu +15 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Recommender Systems and Techniques
  48. Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
    2023/12/27 by Qingyao Li, Lingyue Fu, Li, Qingyao +15 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Online Learning and Analytics #Text Readability and Simplification #Topic Modeling
  49. D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
    2024/01/21 by Jiarui Qin, Qin, Jiarui, Weiwen Liu +7 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques
  50. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
    2024/12/11 by Pengyue Jia, Derong Xu, Jia, Pengyue +19 · 3 citations
    Computer Science · #Speech and dialogue systems #Machine Learning and Algorithms #AI-based Problem Solving and Planning
  51. Prompt Tuning as User Inherent Profile Inference Machine
    2024/08/13 by Yusheng Lu, Zhaocheng Du, Lu, Yusheng +19 · 2 citations
    Computer Science · #Advanced Database Systems and Queries #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Time Series Analysis and Forecasting
  52. Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
    2024/05/21 by Qingyao Li, Li, Qingyao, Wei Xia +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Educational Technology and Assessment #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Intelligent Tutoring Systems and Adaptive Learning #Recommender Systems and Techniques
  53. Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
    2021/01/13 by Chen Ma, Ma, Chen, Liheng Ma +9 · 1 citation
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Advanced Bandit Algorithms Research
  54. Dual Graph enhanced Embedding Neural Network for CTR Prediction
    2021/06/01 by Wei Guo, Guo, Wei, Rong Su +13 · 1 citation
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Caching and Content Delivery
  55. OneRec-V2 Technical Report
    2025/08/28 by Guorui Zhou, Hengrui Hu, Zhou, Guorui +141 · 6 citations
    Computer Science · #Recommender Systems and Techniques #Multimodal Machine Learning Applications #Explainable Artificial Intelligence (XAI)
  56. A Comprehensive Survey on Automated Machine Learning for Recommendations
    2022/04/04 by Bo Chen, Xiangyu Zhao, Chen, Bo +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Text and Document Classification Technologies
  57. Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy
    2024/11/30 by Tingjia Shen, Shen, Tingjia, Hao Wang +16 · 4 citations
    Computer Science · Decision Sciences · #68P20 #Artificial Intelligence (cs.AI) #Data Management and Algorithms #Data Mining Algorithms and Applications #Data Quality and Management #FOS: Computer and information sciences #H.3.4 #I.2.6 #Information Retrieval (cs.IR)
  58. Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
    2022/06/05 by Yankai Chen, Huifeng Guo, Chen, Yankai +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  59. From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
    2025/05/26 by Derong Xu, Xu, Derong, Yi Wen +17 · 5 citations
    Computer Science · #Topic Modeling #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
  60. Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
    2025/02/18 by Q. Y. Zhang, Zhang, Qiyuan, Yufei Wang +19 · 3 citations
    Computer Science · Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Law, AI, and Intellectual Property
  61. Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
    2025/02/19 by Hao Wang, Wang, Hao, Wei Guo +17 · 4 citations
    Computer Science · Medicine · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Radiomics and Machine Learning in Medical Imaging #Recommender Systems and Techniques #Topic Modeling
  62. Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey
    2025/06/06 by Jiachen Zhu, Zhu, Jiachen, Menghui Zhu +21 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Statistical and Computational Modeling
  63. Contrastive Multi-view Framework for Customer Lifetime Value Prediction
    2023/06/26 by Chuhan Wu, Jingjie Li, Wu, Chuhan +9 · 1 citation
    Business, Management and Accounting · Social Sciences · #Customer Service Quality and Loyalty #Customer churn and segmentation #Digital Marketing and Social Media #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  64. Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction
    2023/08/19 by Hengyu Zhang, Chang Meng, Zhang, Hengyu +12 · 1 citation
    Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining
  65. Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation
    2023/08/18 by Chang Meng, Ziqi Zhao, Wei Guo +6 · 1 citation
  66. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    2024/03/19 by Pengyue Jia, Jia, Pengyue, Yejing Wang +15 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  67. Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
    2024/08/14 by Yuxin Jiang, Jiang, Yuxin, Bo Huang +17 · 1 citation
    Decision Sciences · #Multi-Criteria Decision Making
  68. Evaluating the External and Parametric Knowledge Fusion of Large Language Models
    2024/05/29 by Hao Zhang, Zhang, Hao, Yuyang Zhang +19 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  69. CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation
    2024/05/03 by Kounianhua Du, Du, Kounianhua, Renting Rui +16 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Software Engineering (cs.SE) #Speech and dialogue systems #Topic Modeling
  70. CELA: Cost-Efficient Language Model Alignment for CTR Prediction
    2024/05/17 by Xingmei Wang, Wang, Xingmei, Weiwen Liu +18 · 1 citation
    Computer Science · #68T07 #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Topic Modeling
  71. Performance Law of Large Language Models
    2024/08/19 by Chuhan Wu, Wu, Chuhan, Ruiming Tang +1 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  72. Advancing and Benchmarking Personalized Tool Invocation for LLMs
    2025/05/07 by Xu Huang, Huang, Xu, Yuefeng Huang +13 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  73. Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
    2025/05/22 by Kuicai Dong, Dong, Kuicai, Chang, Yujing +7 · 3 citations
    Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Topic Modeling
  74. Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs
    2025/05/26 by Hanting Chen, Chen, Hanting, Jialong Guo +31 · 2 citations
    Engineering · #Advanced Surface Polishing Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence
  75. All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
    2024/07/14 by Bo Chen, Xinyi Dai, Chen, Bo +20 · 1 citation
    Computer Science · Social Sciences · #Natural Language Processing Techniques #Topic Modeling #Artificial Intelligence in Law
  76. An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages
    2022/06/17 by Lingyue Fu, Jianghao Lin, Fu, Lingyue +11 · 1 citation
    Computer Science · #Recommender Systems and Techniques #Web Data Mining and Analysis #Data Visualization and Analytics
  77. Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation
    2025/06/30 by Yifan Wang, Wang, Yifan, Longtao Xiao +16 · 2 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  78. Align-GRAG: Anchor and Rationale Guided Dual Alignment for Graph Retrieval-Augmented Generation
    2025/05/22 by Derong Xu, Xu, Derong, Pengyue Jia +20 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  79. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
    2024/12/11 by Pengyue Jia, Zhaocheng Du, Jia, Pengyue +15 · 1 citation
    Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Text and Document Classification Technologies
  80. WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models
    2026/07/29 by Hao Jiang, Peiru Du, Pengfei Yao +10
    Computer Science · #cs.AI #cs.IR
  81. Multi-Decoder OneRec: Controllable Generative Retrieval for Multi-Objective Industrial Recommendation
    2026/07/29 by You Wang, Zhao Liu, Guoping Tang +11
    Computer Science · #cs.IR
  82. RECAP: Feedback-Driven Streaming Semantic User Profiles for Short-Video Recommendation
    2026/07/17 by Ziyi Zhao, X J Zhou, Xiaoyou Zhou +15
    Computer Science · Decision Sciences · Psychology · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research #Emotion and Mood Recognition