PPaperPicks

Xiao Liu

28 papers at tracked venues · 16 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Attribution-Based Analysis and Optimization of Modular Agentic Workflows
  2. CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation
  3. GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
  4. How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective
  5. Mitigating Cognitive Vulnerabilities in Code Generation via Multi-Agent Adversarial Debate
  6. The Impact of Automation Conditions and Cognitive Abilities on Performance in Smart Factories under Different Task Types
  7. AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis
  8. Better NTK Conditioning: A Free Lunch from (ReLU) Nonlinear Activation in Wide Neural Networks
  9. Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
  10. Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery
    ICCV 2025 · Xiao Liu
  11. High-Precision and High-Efficiency Trajectory Tracking for Excavators Based on Closed-Loop Dynamics
  12. Noisy Student-Based Self-training Enhances Landmark Detection in Intrapartum Ultrasound
    MICCAI 2025 · Xiao Liu
  13. Process-based Self-Rewarding Language Models
  14. RGB-Thermal Visual Place Recognition via Vision Foundation Model
  15. RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition
    IJCAI 2025 · Xiao Liu
  16. Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
  17. eXplainable Intention Estimation in Teleoperated Manipulation Using Deep Dynamic Graph Neural Networks
  18. Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
  19. Attribute or Abstain: Large Language Models as Long Document Assistants
  20. Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
  21. CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
  22. Contrastive Learning-Based Attribute Extraction Method for Enhanced Terrain Classification
    ICRA 2024 · Xiao Liu
  23. DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
  24. Diff-Control: A Stateful Diffusion-based Policy for Imitation Learning
    IROS 2024 · Xiao Liu
  25. LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
  26. Multi-modal Relation Distillation for Unified 3D Representation Learning
  27. To Learn or Not to Learn, That is the Question - A Feature-Task Dual Learning Model of Perceptual Learning
    NeurIPS 2024 · Xiao Liu
  28. iRoCo: Intuitive Robot Control From Anywhere Using a Smartwatch