PTC-Decoder: Towards Intelligent SLMs on Offline Resource-Constrained Edge Devices

arXiv:2609.30836 · cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/yuminghui/llm-toolconstrained-decoder

Terminology

• Benchmark — 14× in this paper · explained in 2 episodes
• Edge Devices — 12× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Quantization — 4× in this paper · explained in 12 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Edge Deployment — 3× in this paper · explained in 2 episodes
• Hallucination — 3× in this paper · explained in 3 episodes
• Task Decomposition — 3× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• KV cache — 2× in this paper · explained in 3 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Resource Constraints — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Lightweight Transformer Architectures for Edge Devices in Real-Time Applications
• Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs
• OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models
• ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
• Gemma 4 Technical Report
• Gemma 3 Technical Report
• Near-realtime Earth Observation Via Starlink LEO Satellite Constellation
• Qwen3 Technical Report
• SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing
• A Survey of Large Language Models
• CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration

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