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Qi Liu

University of Science and Technology of China, School of Artifical Intelligence and Data Science, State Key Laboratory of Cognitive Intelligence, Hefei, China

106 papers at tracked venues · 76 at CORE A* · active 2024–2026

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Venues

ACL ×14AAAI ×13NeurIPS ×13WWW ×12EMNLP ×9WSDM ×9ICML ×8CIKM ×7ICLR ×5SIGIR ×5IJCAI ×3SIGKDD ×3ACM MM ×2ECML-PKDD ×1ICDE ×1SDM ×1

Frequent coauthors

Mingyue Cheng
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Weibo Gao
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Linan Yue
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Rui Li
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Zheng Zhang
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Rui Lv
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Fangzhou Yao
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Zhuoxing Wei
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Heng Yu
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Yuxiang Guo
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Shuo Yu
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Yan Zhuang
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Papers

  1. Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?
    WWW 2026 ·
    Qingchuan Li
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  2. Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
    WSDM 2026 ·
    Mingyue Cheng
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  3. Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees
    ACL 2026 ·
    Zheng Zhang
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  4. Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning
    AAAI 2026 ·
    Fangzhou Yao
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  5. DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
    AAAI 2026 ·
    Zhuoxing Wei
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  6. Eval-RAR: Evaluation-Driven Retrieval-Augmented Reasoning via Reinforcement Learning
    ACL 2026 ·
    Heng Yu
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  7. From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
    AAAI 2026 ·
    Yuxiang Guo
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  8. Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA
    SIGIR 2026 ·
    Keyu Zhu
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  9. LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring
    ACL 2026 ·
    Ning Li
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  10. 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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  11. MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation
    WWW 2026 ·
    Shuo Yu
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  12. One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment
    ACL 2026 ·
    Huixing Que
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  13. Swen: A Cross-Platform Desktop Assistant for Instant and Personalized Large-Language-Model Interaction
    WWW 2026 ·
    Wenjun Feng
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  14. TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
    WSDM 2026 ·
    Chuang Jiang
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  15. Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning
    AAAI 2026 ·
    Shengyu Ye
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  16. TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
    WSDM 2026 ·
    Mingyue Cheng
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  17. A Closed-Form Solution for Fast and Reliable Adaptive Testing
    NeurIPS 2025 ·
    Yan Zhuang
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  18. AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
    ACL 2025 · Qi Liu
  19. Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
    AAAI 2025 ·
    Weibo Gao
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  20. BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling
    WWW 2025 ·
    Weibo Gao
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  21. CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval
    ACL 2025 ·
    Heng Yu
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  22. CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
    ICML 2025 ·
    Yu Yuan
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  23. CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework
    ACM MM 2025 ·
    Wentao Wu
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  24. CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
    IJCAI 2025 ·
    Yi Zhan
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  25. CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
    ICML 2025 ·
    Jiayu Liu
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  26. ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
    WWW 2025 ·
    Mingyue Cheng
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  27. Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
    WSDM 2025 ·
    Mingyue Cheng
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  28. CursorCore: Assist Programming through Aligning Anything
    ICML 2025 ·
    Hao Jiang
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  29. Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction
    SIGIR 2025 ·
    Zhuoxing Wei
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  30. Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
    SIGKDD 2025 ·
    Weibo Gao
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  31. DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
    WSDM 2025 ·
    Wuchao Li
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  32. Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
    AAAI 2025 ·
    Junfeng Kang
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  33. Empowering Federated Graph Rationale Learning with Latent Environments
    WWW 2025 ·
    Linan Yue
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  34. Enhancing Code Search Intent with Programming Context Exploration
    WSDM 2025 ·
    Yanmin Dong
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  35. Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study
    ICLR 2025 ·
    Lili Zhao
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  36. GenAL: Generative Agent for Adaptive Learning
    AAAI 2025 ·
    Rui Lv
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  37. GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning
    ICDE 2025 ·
    Rui Lv
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  38. HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation
    ACL 2025 ·
    Jie Ouyang
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  39. Improving Time Series Forecasting via Instance-aware Post-hoc Revision
    NeurIPS 2025 ·
    Zhiding Liu
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  40. InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling
    WSDM 2025 ·
    Mingyue Cheng
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  41. Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences
    WWW 2025 ·
    Kai Zhang
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  42. MGS3: A Multi-Granularity Self-Supervised Code Search Framework
    SIGKDD 2025 ·
    Rui Li
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  43. Making Transformer Decoders Better Differentiable Indexers
    ICLR 2025 ·
    Wuchao Li
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  44. MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
    ACL 2025 ·
    Shuaike Li
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  45. Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
    CIKM 2025 ·
    Shuo Yu
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  46. PQR: Improving Dense Retrieval via Potential Query Modeling
    ACL 2025 ·
    Junfeng Kang
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  47. Personalized Visual Content Generation in Conversational Systems
    NeurIPS 2025 ·
    Xianquan Wang
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  48. Position: AI Evaluation Should Learn from How We Test Humans
    ICML 2025 ·
    Yan Zhuang
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  49. ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control
    WSDM 2025 ·
    Yin Gu
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  50. ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
    EMNLP 2025 ·
    Rui Lv
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  51. RecFlow: An Industrial Full Flow Recommendation Dataset
    ICLR 2025 · Qi Liu
  52. SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
    NeurIPS 2025 ·
    Zenan Ying
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  53. Stepwise Reasoning Disruption Attack of LLMs
    ACL 2025 ·
    Jingyu Peng
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  54. TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
    CIKM 2025 ·
    Jiahao Wang
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  55. TestAgent: An Adaptive and Intelligent Expert for Human Assessment
    ACL 2025 ·
    Junhao Yu
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  56. Think and Recall: Layer-Level Prompting for Lifelong Model Editing
    EMNLP 2025 ·
    Jinke Wang
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  57. TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
    ICML 2025 ·
    Daoyu Wang
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  58. UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation
    ACL 2025 ·
    Rui Li
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  59. Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
    ICLR 2025 ·
    Yuze Zhao
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  60. VERSE: Verification-based Self-Play for Code Instructions
    AAAI 2025 ·
    Hao Jiang
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  61. WDMIR: Wavelet-Driven Multimodal Intent Recognition
    IJCAI 2025 ·
    Weiyin Gong
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  62. am-ELO: A Stable Framework for Arena-based LLM Evaluation
    ICML 2025 ·
    Zirui Liu
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  63. A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
    ICML 2024 ·
    Junhao Yu
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  64. AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
    AAAI 2024 · Qi Liu
  65. AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling
    SIGKDD 2024 ·
    Fangzhou Yao
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  66. COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks
    SIGIR 2024 ·
    Lili Zhao
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  67. CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
    AAAI 2024 ·
    Rui Li
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  68. Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
    NeurIPS 2024 ·
    Weibo Gao
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  69. Computerized Adaptive Testing via Collaborative Ranking
    NeurIPS 2024 ·
    Zirui Liu
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  70. Cooperative Classification and Rationalization for Graph Generalization
    WWW 2024 ·
    Linan Yue
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  71. Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation
    SIGIR 2024 ·
    Qingyang Mao
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  72. Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
    NeurIPS 2024 ·
    Shangzi Xue
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  73. DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
    NeurIPS 2024 ·
    Jiaxian Yan
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  74. Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
    EMNLP 2024 ·
    Yu Yuan
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  75. Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis
    EMNLP 2024 ·
    Yanjiang Chen
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  76. Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling
    WWW 2024 ·
    Zheng Zhang
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  77. Enhancing the Completeness of Rationales for Multi-Step Question Answering
    CIKM 2024 ·
    Shangzi Xue
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  78. Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models
    SIGIR 2024 ·
    Linan Yue
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  79. Federated Self-Explaining GNNs with Anti-shortcut Augmentations
    ICML 2024 ·
    Linan Yue
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  80. FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
    NeurIPS 2024 ·
    Zaixi Zhang
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  81. GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas
    WSDM 2024 ·
    Zhe Yang
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  82. Generalized Protein Pocket Generation with Prior-Informed Flow Matching
    NeurIPS 2024 ·
    Zaixi Zhang
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  83. Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding
    EMNLP 2024 ·
    Ziqi Wang
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  84. Graph-based Student Knowledge Profile for Online Intelligent Education
    SDM 2024 ·
    Jinze Wu
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  85. HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis
    CIKM 2024 ·
    Dongxuan Han
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  86. I-AM-G: Interest Augmented Multimodal Generator for Item Personalization
    EMNLP 2024 ·
    Xianquan Wang
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  87. Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information
    CIKM 2024 ·
    Rujiao Zhang
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  88. Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization
    ACL 2024 ·
    Yanghai Zhang
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  89. Making LLMs as Fine-Grained Relation Extraction Data Augmentor
    IJCAI 2024 ·
    Yifan Zheng
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  90. Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach
    CIKM 2024 ·
    Yuxiang Guo
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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. Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
    EMNLP 2024 ·
    Rui Li
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  94. PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
    NeurIPS 2024 ·
    Jiatong Li
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  95. RePair: Automated Program Repair with Process-based Feedback
    ACL 2024 ·
    Yuze Zhao
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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 Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
    ICLR 2024 ·
    Linan Yue
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  100. Towards Few-Shot Self-explaining Graph Neural Networks
    ECML-PKDD 2024 ·
    Jingyu Peng
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  101. Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
    WWW 2024 ·
    Mingyue Cheng
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  102. Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm
    WWW 2024 ·
    Jiatong Li
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  103. UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
    CIKM 2024 · Qi Liu
  104. Unified Uncertainty Estimation for Cognitive Diagnosis Models
    WWW 2024 ·
    Fei Wang
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  105. Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
    AAAI 2024 ·
    Weibo Gao
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  106. π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control
    AAAI 2024 ·
    Yin Gu
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