PPaperPicks

Song Wang

University of Virginia, Charlottesville, VA, USA

34 papers at tracked venues · 18 at CORE A* · active 2024–2026

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Venues

EMNLP ×7AAAI ×4ACL ×4NeurIPS ×4ICLR ×3CIKM ×2ICDM ×2WSDM ×2ECAI ×1ICML ×1IJCAI ×1NAACL ×1SIGKDD ×1WWW ×1

Frequent coauthors

Zhen Tan
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Yushun Dong
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Zihan Chen
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Haochen Liu
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Yinhan He
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Yiming Xu
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Xu Shen
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Huaizhi Qu
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Zaiyi Zheng
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Zhenyu Lei
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Tianyu Hu
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Xingbo Fu
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Papers

  1. Explaining the 'Unexplainable' Large Language Models
    WSDM 2026 ·
    Zhen Tan
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  2. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction
    ACL 2026 ·
    Xu Shen
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  3. <tt>BetaConform</tt>: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer
    NeurIPS 2025 ·
    Huaizhi Qu
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  4. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
    EMNLP 2025 · Song Wang
  5. BrainMAP: Learning Multiple Activation Pathways in Brain Networks
    AAAI 2025 · Song Wang
  6. CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
    ICLR 2025 · Song Wang
  7. CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture
    EMNLP 2025 ·
    Zaiyi Zheng
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  8. Demystify Epidemic Containment in Directed Networks: Theory and Algorithms
    WSDM 2025 ·
    Yinhan He
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  9. Dynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models
    ICDM 2025 · Song Wang
  10. Fairness-Aware Graph Learning: A Benchmark
    SIGKDD 2025 ·
    Yushun Dong
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  11. From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
    EMNLP 2025 ·
    Zihan Chen
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  12. Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
    ICLR 2025 ·
    Yushun Dong
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  13. GraphRCG: Self-Conditioned Graph Generation
    CIKM 2025 · Song Wang
  14. Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
    NeurIPS 2025 ·
    Yinhan He
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  15. Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
    IJCAI 2025 ·
    Zhen Tan
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  16. Learning from Diverse Reasoning Paths with Routing and Collaboration
    EMNLP 2025 ·
    Zhenyu Lei
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  17. MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
    ICML 2025 ·
    Zihan Chen
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  18. Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
    NeurIPS 2025 ·
    Tianyu Hu
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  19. Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
    ACL 2025 ·
    Haochen Liu
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  20. Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
    ICLR 2025 · Song Wang
  21. Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
    AAAI 2025 ·
    Yiming Xu
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  22. Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation
    EMNLP 2025 · Song Wang
  23. Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
    ECAI 2025 ·
    Yiming Xu
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  24. Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach
    AAAI 2025 ·
    Zhen Tan
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  25. Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
    AAAI 2025 ·
    Xingbo Fu
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  26. Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
    ICDM 2024 · Song Wang
  27. FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
    ACL 2024 ·
    Zihan Chen
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  28. Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
    NAACL 2024 ·
    Haochen Liu
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  29. Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
    EMNLP 2024 ·
    Zhen Tan
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  30. Knowledge Graph-Enhanced Large Language Models via Path Selection
    ACL 2024 ·
    Haochen Liu
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  31. Large Language Models for Data Annotation and Synthesis: A Survey
    EMNLP 2024 ·
    Zhen Tan
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  32. Mixture of Demonstrations for In-Context Learning
    NeurIPS 2024 · Song Wang
  33. PyGDebias: A Python Library for Debiasing in Graph Learning
    WWW 2024 ·
    Yushun Dong
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  34. Understanding and Modeling Job Marketplace with Pretrained Language Models
    CIKM 2024 ·
    Yaochen Zhu
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