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• Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control
  2025 · 2 citations
• ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
  2024 · 1 citations
• Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
  2026
• Arclight: A Lightweight LLM Inference Architecture For Many-core Cpus
  2026
• MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
  2026
• ARGOS: Automated Functional Safety Requirement Synthesis for Embodied AI via Attribute-Guided Combinatorial Reasoning
  2026
• Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control
  2025
• MiniCPM4: Ultra-Efficient LLMs on End Devices
  2025
• How Well Can Llms Provide Planning Feedback In Grounded Environments?
  2025
• TW-CRL: Time-weighted Contrastive Reward Learning For Efficient Inverse Reinforcement Learning
  2025
• Deep Adversarial Defense Against Multilevel-lp Attacks
  2024
• NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
  2020
• Understanding Representations Pretrained with Auxiliary Losses for Embodied Agent Planning
  2023