PEAM: On-device Communication Agent for Personalized, Efficient and Autonomous Mobile Network Configuration
cs.AI
Submitted: 2026-10-10
Updated: 2026-10-10
Sources
- AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model
- Large Multimodal Model-Based Environment-Aware Mobility Management
- On-Device LLM for Context-Aware Wi-Fi Roaming
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems