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Kun Kuang

Zhejiang University, Lab of Artificial Intelligence, Zhejiang, China

69 papers at tracked venues · 57 at CORE A* · active 2024–2026

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Venues

ICML ×13AAAI ×12ACL ×12EMNLP ×8SIGKDD ×8NAACL ×3ACM MM ×2CVPR ×2ICLR ×2NeurIPS ×2WWW ×2CIKM ×1ICCV ×1ICDE ×1

Frequent coauthors

Ang Li
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Zheqi Lv
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Baohong Li
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Kairong Han
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Tao Wu
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Jiahui Li
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Chengyuan Liu
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Yiquan Wu
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Yuting Huang
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Ziyu Zhao
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Anpeng Wu
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Zijing Hu
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Papers

  1. "I Don't Know What to Say": A Fact-Filling Questionnaire Method to Help Non-Experts Talk to LegalAI Assistant
    ACL 2026 ·
    Yuting Huang
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  2. Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization
    SIGKDD 2026 ·
    Yi He
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  3. C²DLM: Causal Concept-Guided Diffusion Large Language Models
    ACL 2026 ·
    Kairong Han
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  4. Detecting Unobserved Confounders: A Kernelized Regression Approach
    AAAI 2026 ·
    Yikai Chen
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  5. Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning
    SIGKDD 2026 ·
    Ziyu Zhao
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  6. LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation
    ACL 2026 ·
    Weikang Yuan
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  7. P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering
    AAAI 2026 ·
    Wenlin Zhong
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  8. SplitThenMerge: Token-Level Skill-Compositional Sparse Mixture-of-Experts for Complex Domain-Specific Tasks
    ACL 2026 ·
    Yuting Huang
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  9. Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction
    ACL 2026 ·
    Tao Wu
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  10. Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval
    AAAI 2026 ·
    Ang Li
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  11. Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge
    ICML 2025 ·
    Hanglei Hu
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  12. Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
    ICML 2025 ·
    Yuanyuan Yao
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  13. Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
    CIKM 2025 ·
    Kairong Han
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  14. CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
    EMNLP 2025 ·
    Kairong Han
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  15. ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
    EMNLP 2025 ·
    Siying Zhou
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  16. Classifying Treatment Responders: Bounds and Algorithms
    SIGKDD 2025 ·
    Anpeng Wu
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  17. CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval
    EMNLP 2025 ·
    Ang Li
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  18. Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
    SIGKDD 2025 ·
    Zheqi Lv
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  19. D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples
    ICML 2025 ·
    Zijing Hu
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  20. Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation
    ICCV 2025 ·
    Yunze Tong
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  21. ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models
    ICML 2025 ·
    Xinpeng Dong
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  22. Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents
    ACL 2025 ·
    Tao Wu
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  23. Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond
    EMNLP 2025 ·
    Yinghao Hu
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  24. FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning
    AAAI 2025 ·
    Zhonghua Jiang
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  25. Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation
    SIGKDD 2025 ·
    Kairui Fu
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  26. Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments
    ICML 2025 ·
    Baohong Li
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  27. Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data
    ICML 2025 ·
    Yunze Tong
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  28. Learning Causal Transition Matrix for Instance-dependent Label Noise
    AAAI 2025 ·
    Jiahui Li
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  29. Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
    NAACL 2025 ·
    Chengyuan Liu
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  30. Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification
    NAACL 2025 ·
    Ang Li
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  31. Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
    WWW 2025 ·
    Jinluan Yang
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  32. MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study
    NeurIPS 2025 ·
    Yuqing Zhang
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  33. MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities
    AAAI 2025 ·
    Kunxi Li
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  34. Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
    NeurIPS 2025 ·
    Jinluan Yang
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  35. OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
    ACL 2025 ·
    Xueyu Hu
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  36. Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration
    AAAI 2025 ·
    Zheqi Lv
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  37. RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
    EMNLP 2025 ·
    Jiahui Li
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  38. Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
    ICML 2025 ·
    Minqin Zhu
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  39. Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction
    ACL 2025 ·
    Yuting Huang
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  40. Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
    ACM MM 2025 ·
    Zheqi Lv
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  41. Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
    CVPR 2025 ·
    Zijing Hu
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  42. UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever
    ACL 2025 ·
    Ang Li
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  43. A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
    ICML 2024 ·
    Baohong Li
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  44. AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
    ICLR 2024 ·
    Zihao Tang
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  45. CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation
    AAAI 2024 ·
    Junao Shen
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  46. Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning
    ACL 2024 ·
    Yiquan Wu
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  47. Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
    AAAI 2024 ·
    Minqin Zhu
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  48. CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
    AAAI 2024 ·
    Kexin Li
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  49. De-biased Attention Supervision for Text Classification with Causality
    AAAI 2024 ·
    Yiquan Wu
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  50. Distributionally Generative Augmentation for Fair Facial Attribute Classification
    CVPR 2024 ·
    Fengda Zhang
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  51. Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
    EMNLP 2024 ·
    Chengyuan Liu
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  52. InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
    ICML 2024 ·
    Xueyu Hu
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  53. Intelligent Model Update Strategy for Sequential Recommendation
    WWW 2024 ·
    Zheqi Lv
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  54. Latent Learningscape Guided In-context Learning
    ACL 2024 ·
    Anlai Zhou
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  55. Learning Causal Relations from Subsampled Time Series with Two Time-Slices
    ICML 2024 ·
    Anpeng Wu
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  56. Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
    ICML 2024 ·
    Baohong Li
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  57. Learning to Reweight for Generalizable Graph Neural Network
    AAAI 2024 ·
    Zhengyu Chen
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  58. LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
    ACL 2024 ·
    Ziyu Zhao
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  59. MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
    ICLR 2024 ·
    Min Zhang
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  60. Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
    ICML 2024 ·
    Didi Zhu
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  61. More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
    EMNLP 2024 ·
    Chengyuan Liu
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  62. Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models
    SIGKDD 2024 ·
    Didi Zhu
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  63. Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning
    EMNLP 2024 ·
    Jiahui Li
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  64. Semantic Alignment for Multimodal Large Language Models
    ACM MM 2024 ·
    Tao Wu
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  65. Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations
    ICDE 2024 ·
    Yuling Zhang
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  66. Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
    ICML 2024 ·
    Baohong Li
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  67. Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge
    NAACL 2024 ·
    Yifei Liu
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  68. Xinyu: An Efficient LLM-based System for Commentary Generation
    SIGKDD 2024 ·
    Yiquan Wu
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  69. Your Neighbor Matters: Towards Fair Decisions Under Networked Interference
    SIGKDD 2024 ·
    Wenjing Yang
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