Jiahao Liu

Venues

Frequent coauthors

Papers

1. Hyena Operator for Fast Sequential Recommendation
   WWW 2026 · Jiahao Liu
2. Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications
   ACL 2026 ·

   Xiaoyue Lu

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3. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
   ACL 2026 ·

   Zihao Wei

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4. "Social Leading": Exploring Imposed Behavioral Synchrony in Virtual Reality
   CSCW 2025 · Jiahao Liu
5. Dynamic Fisher-weighted Model Merging via Bayesian Optimization
   NAACL 2025 ·

   Sanwoo Lee

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6. Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU
   IJCAI 2025 ·

   Shuxi Guo

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7. IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method
   EMNLP 2025 ·

   Xinyu Liu

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8. LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
   AAAI 2025 ·

   Zhonghong Ou

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9. Probabilistic Token Alignment for Large Language Model Fusion
   NeurIPS 2025 ·

   Runjia Zeng

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10. ReMamba: Equip Mamba with Effective Long-Sequence Modeling
    EMNLP 2025 ·

    Danlong Yuan

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11. STaR: Multi-Granular Spatio-Temporal Reasoning for Long-Form Dense Video Captioning
    ECAI 2025 ·

    Yihao Wu

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12. TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
    EMNLP 2025 ·

    Kechen Jiao

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13. C-ICL: Contrastive In-context Learning for Information Extraction
    EMNLP 2024 ·

    Ying Mo

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14. EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
    EMNLP 2024 ·

    Li Yang

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15. Graph-Structured Speculative Decoding
    ACL 2024 ·

    Zhuocheng Gong

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16. MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
    AAAI 2024 ·

    Ying Mo

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17. M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
    EMNLP 2024 ·

    Taowen Wang

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18. Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
    NeurIPS 2024 ·

    Bei Li

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19. Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
    ACL 2024 · Jiahao Liu
20. Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
    NeurIPS 2024 ·

    Yaoyuan Liang

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21. What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
    AAAI 2024 ·

    Zhuocheng Gong

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