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Enhong Chen

University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China

105 papers at tracked venues · 75 at CORE A* · active 2024–2026

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Venues

WWW ×15ACL ×14NeurIPS ×11EMNLP ×10CIKM ×8SIGKDD ×8AAAI ×7ICML ×7ACM MM ×4SIGIR ×4WSDM ×4ICDM ×3CVPR ×2ICLR ×2IJCAI ×2EACL ×1ICDE ×1RecSys ×1SDM ×1

Frequent coauthors

Mingyue Cheng
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Derong Xu
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Wenjia Xie
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Jiayu Liu
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Liyang He
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Jiaqing Zhang
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Zhiding Liu
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Xin Lin
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Mingjia Yin
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Pengfei Luo
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Chao Zhang
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Junhao Yu
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Papers

  1. Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
    WSDM 2026 ·
    Mingyue Cheng
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  2. Generative Data Transformation: From Mixed to Unified Data
    WWW 2026 ·
    Jiaqing Zhang
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  3. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
    ACL 2026 ·
    Derong Xu
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  4. Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration
    ACL 2026 ·
    Hang Lv
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  5. LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring
    ACL 2026 ·
    Ning Li
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  6. Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning
    AAAI 2026 ·
    Shuochen Liu
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  7. Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
    ACL 2026 ·
    Fengxian Dong
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  8. SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility
    ACL 2026 ·
    Xuyang Zhi
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  9. Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
    SIGKDD 2026 ·
    Haocheng Yu
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  10. TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
    WSDM 2026 ·
    Mingyue Cheng
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  11. To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination
    EACL 2026 ·
    Jing Ke
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  12. Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
    WWW 2026 ·
    Zhiding Liu
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  13. Uncertainty-Aware Planning for Disambiguating User Intent in Interactive LLM Agents: Application to Baidu Maps
    SIGKDD 2026 ·
    Deqiang Huang
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  14. Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective
    SIGIR 2026 ·
    Jiancheng Wang
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  15. VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit
    ACL 2026 ·
    Junda Lin
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  16. Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
    NeurIPS 2025 ·
    Zijie Geng
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  17. Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation
    SIGKDD 2025 ·
    Wenjia Xie
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  18. CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
    ICML 2025 ·
    Jiayu Liu
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  19. DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
    SIGIR 2025 ·
    Kefan Wang
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  20. DepFormer: A Unified Framework with Bimodal Collaborative Transformer for Depression Detection
    ACM MM 2025 ·
    Fangyuan Liu
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  21. Detect, Investigate, Judge and Determine: A Knowledge-Guided Framework for Few-Shot Fake News Detection
    ICDM 2025 ·
    Ye Liu
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  22. ECG-Doctor: An Interpretable Multimodal ECG Diagnosis Framework Based on Large Language Models
    CIKM 2025 ·
    Dongsheng Tian
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  23. Explore What LLM Does Not Know in Complex Question Answering
    AAAI 2025 ·
    Xin Lin
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  24. Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration
    ICDM 2025 ·
    Yongcong Ye
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  25. From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
    ICML 2025 ·
    Mingjia Yin
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  26. FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
    WWW 2025 ·
    Yufei Ye
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  27. Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
    WWW 2025 ·
    Hao Wang
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  28. Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
    AAAI 2025 ·
    Derong Xu
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  29. HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
    ICML 2025 ·
    Runquan Gui
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  30. ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
    WWW 2025 ·
    Pengfei Luo
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  31. Improving Time Series Forecasting via Instance-aware Post-hoc Revision
    NeurIPS 2025 ·
    Zhiding Liu
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  32. Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration
    CVPR 2025 ·
    Yuxuan Gu
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  33. InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling
    WSDM 2025 ·
    Mingyue Cheng
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  34. Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences
    WWW 2025 ·
    Kai Zhang
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  35. Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
    SIGIR 2025 ·
    Luankang Zhang
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  36. Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
    ICDM 2025 ·
    Haoyu Tang
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  37. LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
    NeurIPS 2025 ·
    Zehao Wang
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  38. MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling
    WWW 2025 ·
    Rui Zhou
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  39. MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
    ACL 2025 ·
    Shuaike Li
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  40. Multi-Branch Self-Drafting for LLM Inference Acceleration
    AAAI 2025 ·
    Zipeng Gao
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  41. Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
    AAAI 2025 ·
    Guanhao Zhao
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  42. Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
    CIKM 2025 ·
    Shuo Yu
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  43. Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
    SIGKDD 2025 ·
    Xiang Xu
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  44. NoteLLM-2: Multimodal Large Representation Models for Recommendation
    SIGKDD 2025 ·
    Chao Zhang
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  45. P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
    NeurIPS 2025 ·
    Tingjia Shen
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  46. Position: AI Evaluation Should Learn from How We Test Humans
    ICML 2025 ·
    Yan Zhuang
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  47. RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
    NeurIPS 2025 ·
    Rongyang Zhang
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  48. RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
    ACL 2025 ·
    Hongchao Gu
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  49. Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
    ACL 2025 ·
    Liyang He
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  50. Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination
    EMNLP 2025 ·
    Zhongyi Ye
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  51. SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
    EMNLP 2025 ·
    Yuqing Huang
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  52. TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
    WWW 2025 ·
    Jiaqing Zhang
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  53. Tag-augmented Dual-target Cross-domain Recommendation
    RecSys 2025 ·
    Mingfan Pan
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  54. TestAgent: An Adaptive and Intelligent Expert for Human Assessment
    ACL 2025 ·
    Junhao Yu
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  55. ToolACE: Winning the Points of LLM Function Calling
    ICLR 2025 ·
    Weiwen Liu
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  56. Understanding the Effect of Loss Functions on the Generalization of Recommendations
    SIGKDD 2025 ·
    Yuanhao Pu
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  57. Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
    ICLR 2025 ·
    Yuze Zhao
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  58. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
    CVPR 2025 ·
    Chaoyou Fu
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  59. What Makes In-context Learning Effective for Mathematical Reasoning
    ICML 2025 ·
    Jiayu Liu
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  60. iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation
    ACL 2025 ·
    Zheyong Xie
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  61. A Knowledge-Injected Curriculum Pretraining Framework for Question Answering
    WWW 2024 ·
    Xin Lin
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  62. A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting
    ACM MM 2024 ·
    Zhengye Zhang
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  63. A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
    ICML 2024 ·
    Junhao Yu
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  64. ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs
    EMNLP 2024 ·
    Changchun Liu
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  65. Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing
    WWW 2024 ·
    Liyang He
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  66. Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
    NeurIPS 2024 ·
    Wenjia Xie
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  67. Bridging Gaps in Content and Knowledge for Multimodal Entity Linking
    ACM MM 2024 ·
    Pengfei Luo
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  68. Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
    CIKM 2024 ·
    Wenjia Xie
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  69. Dataset Regeneration for Sequential Recommendation
    SIGKDD 2024 ·
    Mingjia Yin
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  70. Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition
    EMNLP 2024 ·
    Wei Chen
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  71. Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
    CIKM 2024 ·
    Derong Xu
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  72. Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
    WWW 2024 ·
    Yongqiang Han
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  73. Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
    AAAI 2024 ·
    Likang Wu
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  74. FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning
    CIKM 2024 ·
    Zhijun Dong
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  75. Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
    AAAI 2024 ·
    Hantao Yang
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  76. GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas
    WSDM 2024 ·
    Zhe Yang
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  77. Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
    NeurIPS 2024 ·
    Jin Zhang
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  78. Generative Input: Towards Next-Generation Input Methods Paradigm
    ACL 2024 ·
    Keyu Ding
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  79. Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding
    EMNLP 2024 ·
    Ziqi Wang
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  80. Graph-based Student Knowledge Profile for Online Intelligent Education
    SDM 2024 ·
    Jinze Wu
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  81. In-Context Former: Lightning-fast Compressing Context for Large Language Model
    EMNLP 2024 ·
    Xiangfeng Wang
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  82. Large Language Model based Long-tail Query Rewriting in Taobao Search
    WWW 2024 ·
    Wenjun Peng
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  83. Learning from Highly Sparse Spatio-temporal Data
    NeurIPS 2024 ·
    Leyan Deng
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  84. Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information
    CIKM 2024 ·
    Rujiao Zhang
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  85. Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
    IJCAI 2024 ·
    Tong Xiao
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  86. Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
    ICML 2024 ·
    Yuanhao Pu
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  87. Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization
    ACL 2024 ·
    Yanghai Zhang
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  88. Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach
    CIKM 2024 ·
    Yuxiang Guo
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  89. Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
    EMNLP 2024 ·
    Derong Xu
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  90. NoteLLM: A Retrievable Large Language Model for Note Recommendation
    WWW 2024 ·
    Chao Zhang
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  91. One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network
    ACM MM 2024 ·
    Liyang He
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  92. OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
    EMNLP 2024 ·
    Xukai Liu
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  93. Pre-training General User Representation with Multi-type APP Behaviors
    IJCAI 2024 ·
    Yuren Zhang
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  94. Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
    EMNLP 2024 ·
    Yuanjie Lyu
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  95. Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations
    ICDE 2024 ·
    Rui Zha
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  96. SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
    NeurIPS 2024 ·
    Jiayu Liu
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  97. Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
    NeurIPS 2024 ·
    Zheng Zhang
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  98. Towards Explainable Computerized Adaptive Testing with Large Language Model
    EMNLP 2024 ·
    Cheng Cheng
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  99. Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
    WWW 2024 ·
    Mingyue Cheng
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  100. UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
    CIKM 2024 ·
    Qi Liu
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  101. Unified Uncertainty Estimation for Cognitive Diagnosis Models
    WWW 2024 ·
    Fei Wang
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  102. Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification
    SIGIR 2024 ·
    Le Dai
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  103. VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
    NeurIPS 2024 ·
    Shiwei Wu
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  104. Visualization Recommendation with Prompt-based Reprogramming of Large Language Models
    ACL 2024 ·
    Xinhang Li
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  105. When Box Meets Graph Neural Network in Tag-aware Recommendation
    SIGKDD 2024 ·
    Fake Lin
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