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• Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
  2025 · 19 citations
• VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search
  2025 · 10 citations
• Structure-BiEval: A Self-Supervised, Dual-Track Framework for Decoupling Structure and Content in LLM Evaluation for Web Information Systems
  2026
• MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration
  2026
• SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation
  2026
• FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search
  2026
• RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation
  2025
• RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation
  2025
• ContextCache: Context-Aware Semantic Cache for Multi-Turn Queries in Large Language Models
  2025
• Optimizing Large Language Model Training Using FP4 Quantization
  2025
• Recycling Pretrained Checkpoints: Orthogonal Growth of Mixture-of-Experts for Efficient Large Language Model Pre-Training
  2025
• ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
  2023
• SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  2024