PPaperPicks

Zhenya Huang

53 papers at tracked venues · 45 at CORE A* · active 2024–2026

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Venues

ACL ×11AAAI ×8WWW ×8NeurIPS ×5SIGKDD ×5ICML ×4CIKM ×2EMNLP ×2ICLR ×2IJCAI ×2ACM MM ×1SDM ×1SIGIR ×1WSDM ×1

Frequent coauthors

Zheng Zhang
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Jiayu Liu
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Rui Li
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Liyang He
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Yuxiang Guo
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Yan Zhuang
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Zhiyuan Ma
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Weibo Gao
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Xin Lin
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Cheng Cheng
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Junhao Yu
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Yuze Zhao
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Papers

  1. Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees
    ACL 2026 ·
    Zheng Zhang
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  2. From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
    AAAI 2026 ·
    Yuxiang Guo
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  3. Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA
    SIGIR 2026 ·
    Keyu Zhu
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  4. LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring
    ACL 2026 ·
    Ning Li
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  5. 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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  6. SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?
    ACL 2026 ·
    Yuxuan Sun
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  7. Swen: A Cross-Platform Desktop Assistant for Instant and Personalized Large-Language-Model Interaction
    WWW 2026 ·
    Wenjun Feng
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  8. Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning
    AAAI 2026 ·
    Shengyu Ye
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  9. TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
    ACL 2026 ·
    Jiaming Leng
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  10. A Closed-Form Solution for Fast and Reliable Adaptive Testing
    NeurIPS 2025 ·
    Yan Zhuang
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  11. Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning
    SIGKDD 2025 ·
    Zhiyuan Ma
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  12. Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
    AAAI 2025 ·
    Weibo Gao
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  13. Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning
    AAAI 2025 ·
    Zhiyuan Ma
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  14. BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling
    WWW 2025 ·
    Weibo Gao
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  15. CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval
    ACL 2025 ·
    Heng Yu
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  16. Can LLMs Solve Longer Math Word Problems Better?
    ICLR 2025 ·
    Xin Xu
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  17. CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
    IJCAI 2025 ·
    Yi Zhan
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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. Combining Denoised Neural Network and Genetic Symbolic Regression for Memory Behavior Modeling via Dynamic Asynchronous Optimization
    SIGKDD 2025 ·
    Jianwen Sun
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  20. Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
    AAAI 2025 ·
    Junfeng Kang
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  21. Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling
    SIGKDD 2025 ·
    Bihan Xu
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  22. Enhancing Code Search Intent with Programming Context Exploration
    WSDM 2025 ·
    Yanmin Dong
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  23. Explore What LLM Does Not Know in Complex Question Answering
    AAAI 2025 ·
    Xin Lin
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  24. From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation
    ACL 2025 ·
    Cheng Cheng
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  25. IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
    ACL 2025 ·
    Wei Song
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  26. MGS3: A Multi-Granularity Self-Supervised Code Search Framework
    SIGKDD 2025 ·
    Rui Li
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  27. Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
    AAAI 2025 ·
    Guanhao Zhao
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  28. Position: AI Evaluation Should Learn from How We Test Humans
    ICML 2025 ·
    Yan Zhuang
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  29. Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
    ACL 2025 ·
    Liyang He
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  30. TestAgent: An Adaptive and Intelligent Expert for Human Assessment
    ACL 2025 ·
    Junhao Yu
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  31. Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
    ICLR 2025 ·
    Yuze Zhao
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  32. What Makes In-context Learning Effective for Mathematical Reasoning
    ICML 2025 ·
    Jiayu Liu
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  33. A Knowledge-Injected Curriculum Pretraining Framework for Question Answering
    WWW 2024 ·
    Xin Lin
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  34. A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
    ICML 2024 ·
    Junhao Yu
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  35. Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing
    WWW 2024 ·
    Liyang He
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  36. CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
    AAAI 2024 ·
    Rui Li
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  37. Computerized Adaptive Testing via Collaborative Ranking
    NeurIPS 2024 ·
    Zirui Liu
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  38. Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
    NeurIPS 2024 ·
    Shangzi Xue
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  39. Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling
    WWW 2024 ·
    Zheng Zhang
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  40. Enhancing the Completeness of Rationales for Multi-Step Question Answering
    CIKM 2024 ·
    Shangzi Xue
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  41. Graph-based Student Knowledge Profile for Online Intelligent Education
    SDM 2024 ·
    Jinze Wu
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  42. Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective
    SIGKDD 2024 ·
    Haotian Zhang
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  43. Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
    IJCAI 2024 ·
    Tong Xiao
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  44. Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach
    CIKM 2024 ·
    Yuxiang Guo
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  45. One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network
    ACM MM 2024 ·
    Liyang He
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  46. Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
    EMNLP 2024 ·
    Rui Li
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  47. RePair: Automated Program Repair with Process-based Feedback
    ACL 2024 ·
    Yuze Zhao
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  48. SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
    NeurIPS 2024 ·
    Jiayu Liu
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  49. Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
    NeurIPS 2024 ·
    Zheng Zhang
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  50. Towards Explainable Computerized Adaptive Testing with Large Language Model
    EMNLP 2024 ·
    Cheng Cheng
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  51. Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
    WWW 2024 ·
    Mingyue Cheng
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  52. Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm
    WWW 2024 ·
    Jiatong Li
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  53. Unified Uncertainty Estimation for Cognitive Diagnosis Models
    WWW 2024 ·
    Fei Wang
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