Shizhu He

Venues

Frequent coauthors

Papers

1. GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
   ACL 2026 ·

   Jianwen Luo

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2. Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs
   ACL 2026 ·

   Jinhui Chen

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3. Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning
   ACL 2026 ·

   Zhu Min

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4. Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence
   AAAI 2026 ·

   Zhaoyang Wei

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5. Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models
   ACL 2026 ·

   Wangtao Sun

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6. SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
   AAAI 2026 ·

   Huanxuan Liao

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7. Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs
   ACL 2026 ·

   Huanxuan Liao

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8. TaREx: Reinforcement Learning for Code-Driven Table Reasoning
   AAAI 2026 ·

   Fangyu Lei

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9. HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking
   AAAI 2025 ·

   Zeyong Zhao

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10. KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model
    EMNLP 2025 ·

    Shun Wu

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11. LLaSA: Large Language and Structured Data Assistant
    NAACL 2025 ·

    Yao Xu

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12. Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing
    EMNLP 2025 ·

    Cunli Mao

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13. Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
    ACL 2025 ·

    Yuqiao Tan

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14. Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
    AAAI 2025 ·

    Huanxuan Liao

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15. Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval
    ACL 2025 ·

    Jiabei Chen

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16. Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning
    EMNLP 2025 ·

    Chengfeng Zhao

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17. DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
    EMNLP 2024 ·

    Yiming Huang

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18. Does Large Language Model Contain Task-Specific Neurons?
    EMNLP 2024 ·

    Ran Song

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19. From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
    NeurIPS 2024 ·

    Huanxuan Liao

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20. Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
    EMNLP 2024 ·

    Yao Xu

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21. Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization
    EMNLP 2024 ·

    Zhiqi Wang

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22. ItD: Large Language Models Can Teach Themselves Induction through Deduction
    ACL 2024 ·

    Wangtao Sun

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23. Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
    ICLR 2024 ·

    Yixuan Weng

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24. S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model
    NAACL 2024 ·

    Fangyu Lei

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25. Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering
    ACL 2024 ·

    Xiang Li

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