Linjian Mo

Venues

Frequent coauthors

Papers

1. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs
   ACL 2026 ·

   Qiuyi Qi

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2. STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training
   ACL 2026 ·

   Qiuyi Qi

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3. UrbanGeoEval: A City-Scale Benchmark for Evaluating Large Language Models in Geospatial Reasoning
   ACL 2026 ·

   Mutian Bao

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4. A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System
   SIGIR 2025 ·

   Chao Xiong

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5. Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search
   SIGIR 2025 ·

   Yedan Shen

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6. CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
   NAACL 2025 ·

   Kaixin Wu

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7. DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval
   AAAI 2025 ·

   Penghao Lu

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8. EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models
   WWW 2025 ·

   Zhaorui Lian

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9. MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search
   SIGIR 2025 ·

   Qi Zheng

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10. Multi-Task Learning through Hierarchical Information Sharing and Transfer
    CIKM 2025 ·

    Yufan Mao

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11. Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models
    WWW 2025 ·

    Xiyu Chang

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12. Aligned Side Information Fusion Method for Sequential Recommendation
    WWW 2024 ·

    Shuhan Wang

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13. Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
    SIGIR 2024 ·

    Binzong Geng

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14. Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models
    SIGIR 2024 ·

    Yankun Ren

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15. Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset
    SIGIR 2024 ·

    Zhaoxin Huan

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16. GATS: Generative Audience Targeting System for Online Advertising
    SIGIR 2024 ·

    Cong Jiang

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17. MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation
    CIKM 2024 ·

    Guanghu Yuan

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