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Haobo Wang

Zhejiang University, School of Software Technology, College of Computer Science and Technology, Zhejiang, China

46 papers at tracked venues · 35 at CORE A* · active 2024–2026

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Venues

ACL ×10EMNLP ×8AAAI ×5ICML ×5NeurIPS ×5ICLR ×3IJCAI ×3CVPR ×2VLDB ×2WWW ×2SIGKDD ×1

Frequent coauthors

Mingxuan Xia
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Kai Tang
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Liyao Li
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Lin Long
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Wentao Ye
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Zhen Zhu
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Yuena Lin
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Qi Zhang
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Ruixuan Xiao
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Yuhang Yang
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Shouqing Yang
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Lirong Gao
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Papers

  1. An Invariant Latent Space Perspective on Language Model Inversion
    AAAI 2026 ·
    Wentao Ye
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  2. Dual Graph Disambiguation for Multi-Instance Partial-Label Learning
    AAAI 2026 ·
    Zhen Zhu
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  3. Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection
    ACL 2026 ·
    Yuhang Yang
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  4. FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis
    ACL 2026 ·
    Shouqing Yang
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  5. Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis
    AAAI 2026 ·
    Kai Tang
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  6. Reinforcement Learning with Verbalized Probabilities for LLM Classification
    WWW 2026 ·
    Liyao Li
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  7. Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph
    ACL 2026 ·
    Lirong Gao
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  8. A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution
    IJCAI 2025 ·
    Yueying Li
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  9. Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL
    ICLR 2025 ·
    Lin Long
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  10. CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
    EMNLP 2025 ·
    Zhanming Shen
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  11. CoLA: Model Collaboration for Log-based Anomaly Detection
    VLDB 2025 ·
    Xuhang Zhu
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  12. CrowdAgent: Multi-Agent Managed Multi-Source Annotation System
    EMNLP 2025 ·
    Maosheng Qin
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  13. Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
    NeurIPS 2025 ·
    Zhifang Zhang
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  14. Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary
    ICLR 2025 ·
    Yuena Lin
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  15. Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models
    EMNLP 2025 ·
    Mingxuan Xia
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  16. Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
    NeurIPS 2025 ·
    Shenzhi Yang
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  17. Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition
    ACL 2025 ·
    Guangcheng Zhu
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  18. LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization
    EMNLP 2025 ·
    Qi Zhang
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  19. LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains
    EMNLP 2025 ·
    Liyao Li
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  20. Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
    ICML 2025 ·
    Yuena Lin
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  21. Multi-Instance Multi-Label Classification from Crowdsourced Labels
    AAAI 2025 ·
    Ziquan Wang
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  22. Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
    ACL 2025 ·
    Mingxuan Xia
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  23. RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis
    ACL 2025 ·
    Pengzuo Wu
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  24. Representation Surgery in Model Merging with Probabilistic Modeling
    ICML 2025 ·
    Qi Wei
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  25. Steer LLM Latents for Hallucination Detection
    ICML 2025 ·
    Seongheon Park
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  26. Table as a Modality for Large Language Models
    NeurIPS 2025 ·
    Liyao Li
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  27. Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
    ICML 2025 ·
    Qiyu Zhong
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  28. Towards Reverse Engineering of Language Models: A Survey
    EMNLP 2025 ·
    Xinpeng Ti
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  29. Towards Robust Incremental Learning Under Ambiguous Supervision
    IJCAI 2025 ·
    Rui Wang
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  30. Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications
    EMNLP 2025 ·
    Kai Tang
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  31. A Separation and Alignment Framework for Black-Box Domain Adaptation
    AAAI 2024 ·
    Mingxuan Xia
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  32. CORAL: Collaborative Automatic Labeling System based on Large Language Models
    VLDB 2024 ·
    Zhen Zhu
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  33. CoMAL: Contrastive Active Learning for Multi-Label Text Classification
    SIGKDD 2024 ·
    Cheng Peng
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  34. Common-Individual Semantic Fusion for Multi-View Multi-Label Learning
    IJCAI 2024 ·
    Gengyu Lyu
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  35. Data Contamination Calibration for Black-box LLMs
    ACL 2024 ·
    Wentao Ye
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  36. Energy-based Automated Model Evaluation
    ICLR 2024 ·
    Ru Peng
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  37. FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
    EMNLP 2024 ·
    Ruixuan Xiao
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  38. Learning Geometry-Aware Representations for New Intent Discovery
    ACL 2024 ·
    Kai Tang
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  39. Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
    NeurIPS 2024 ·
    Jianan Yang
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  40. NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
    NeurIPS 2024 ·
    Zhonghao Wang
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  41. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
    ACL 2024 ·
    Lin Long
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  42. Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
    CVPR 2024 ·
    Lin Long
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  43. RECOST: External Knowledge Guided Data-efficient Instruction Tuning
    ACL 2024 ·
    Qi Zhang
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  44. Targeted Representation Alignment for Open-World Semi-Supervised Learning
    CVPR 2024 ·
    Ruixuan Xiao
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  45. Towards Cross-Table Masked Pretraining for Web Data Mining
    WWW 2024 ·
    Chao Ye
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  46. Unbiased Multi-Label Learning from Crowdsourced Annotations
    ICML 2024 ·
    Mingxuan Xia
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