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Xuebo Liu

Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China

34 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

ACL ×16EMNLP ×12AAAI ×2NeurIPS ×2CVPR ×1ICLR ×1

Frequent coauthors

Jun Rao
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Zhexuan Wang
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Hexuan Deng
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Yutong Wang
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Liangxin Liu
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Tengfei Yu
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Junlin Li
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Rongqing Jiang
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Yanming Sun
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Xiaopeng Ke
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Chunhao Tian
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Haosi Mo
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Papers

  1. D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation
    ACL 2026 ·
    Junlin Li
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  2. DeReA: Improving Idiom Translation with Detect-Retrieve-Arbitrate Reasoning
    ACL 2026 ·
    Rongqing Jiang
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  3. Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning
    ACL 2026 ·
    Jun Rao
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  4. Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
    AAAI 2026 ·
    Yanming Sun
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  5. APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training
    ACL 2025 ·
    Jun Rao
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  6. AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
    EMNLP 2025 ·
    Xiaopeng Ke
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  7. AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
    ACL 2025 ·
    Zhexuan Wang
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  8. AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
    EMNLP 2025 ·
    Chunhao Tian
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  9. CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task
    EMNLP 2025 ·
    Haosi Mo
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  10. DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
    ACL 2025 ·
    Hexuan Deng
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  11. DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
    ICLR 2025 ·
    Yutong Wang
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  12. DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
    EMNLP 2025 ·
    Xiabin Zhou
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  13. Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
    AAAI 2025 ·
    Yifan Lu
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  14. Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
    EMNLP 2025 ·
    Qingyu Lu
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  15. SGIC: A Self-Guided Iterative Calibration Framework for RAG
    ACL 2025 ·
    Guanhua Chen
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  16. SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models
    EMNLP 2025 ·
    Jun Rao
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  17. UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation
    ACL 2025 ·
    SongTang SongTang
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  18. Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models
    EMNLP 2025 ·
    Ming Wang
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  19. Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner
    EMNLP 2024 ·
    Shudong Liu
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  20. CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
    EMNLP 2024 ·
    Jun Rao
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  21. Curriculum Consistency Learning for Conditional Sentence Generation
    EMNLP 2024 ·
    Liangxin Liu
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  22. DB-LLM: Accurate Dual-Binarization for Efficient LLMs
    ACL 2024 ·
    Hong Chen
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  23. Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation
    ACL 2024 ·
    Zhexuan Wang
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  24. EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
    CVPR 2024 ·
    Yaofang Liu
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  25. Improving Attributed Text Generation of Large Language Models via Preference Learning
    ACL 2024 ·
    Dongfang Li
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  26. LPZero: Language Model Zero-cost Proxy Search from Zero
    EMNLP 2024 ·
    Peijie Dong
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  27. LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models
    ACL 2024 ·
    Jiaqi Zhao
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  28. NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
    NeurIPS 2024 ·
    Hexuan Deng
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  29. Revisiting Demonstration Selection Strategies in In-Context Learning
    ACL 2024 ·
    Keqin Peng
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  30. SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
    NeurIPS 2024 ·
    Liangxin Liu
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  31. Self-Powered LLM Modality Expansion for Large Speech-Text Models
    EMNLP 2024 ·
    Tengfei Yu
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  32. Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation
    ACL 2024 ·
    Tengfei Yu
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  33. TasTe: Teaching Large Language Models to Translate through Self-Reflection
    ACL 2024 ·
    Yutong Wang
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  34. Towards Demonstration-Aware Large Language Models for Machine Translation
    ACL 2024 ·
    Chen Li
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