Lingzhi Wang

Venues

Frequent coauthors

Papers

1. Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation
   ACL 2026 ·

   Lin Zhong

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2. Improving Heterogeneous Graph Contrastive Learning Robustness via Hierarchical Vulnerability Protection
   SIGKDD 2026 ·

   Jinhao Cui

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3. Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding
   ACL 2026 ·

   Lin Zhong

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4. ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
   AAAI 2026 ·

   Xingshan Zeng

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5. Adaptive Data and Task Joint Scheduling for Multi-Task Learning
   ICDE 2025 ·

   Zeyu Liu

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6. Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
   NeurIPS 2025 ·

   Jianyang Qin

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7. CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
   SIGIR 2025 ·

   Lin Zhong

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8. Cross-Modal Causal Scheduling for Enhancing Target-Oriented Multi-modal Sentiment Classification
   ECML-PKDD 2025 ·

   Pengyu Zhao

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9. Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models
   IJCAI 2025 · Lingzhi Wang
10. Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
    AAAI 2025 · Lingzhi Wang
11. Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
    NeurIPS 2025 ·

    Chaoyang Li

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12. DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models
    ACL 2024 ·

    Baohang Zhou

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13. LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs
    ACL 2024 ·

    Tingting Liang

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14. LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement
    EMNLP 2024 ·

    Zijin Feng

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