conftrace_

on-device deployment

12 papers

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Co-occurring keywords · papers mentioning both

large language model (5) model compression (5) on-device inference (3) model merging (3) model quantization (3) compositional multi-tasking (2) low-rank adapter (2) small language model (2) knowledge distillation (2) multi-task learning (2)

Papers

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation CVPR 2026 K-Merge: Online Continual Merging of Adapters for On-device Large Language Models ACL 2026 MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment ACL 2026 OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs AAAI 2026 AAIG at GenAI Detection Task 1: Exploring Syntactically-Aware, Resource-Efficient Small Autoregressive Decoders for AI Content Detection COLING 2025 Efficient Compositional Multi-tasking for On-device Large Language Models EMNLP 2025 LiteLMGuard: Seamless and Lightweight On-Device Guardrails for Small Language Models against Quantization Vulnerabilities IJCNLP 2025 On-Device Diffusion Transformer Policy for Efficient Robot Manipulation ICCV 2025 On-device System of Compositional Multi-tasking in Large Language Models EMNLP 2025 Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference ACL 2024 MobileQuant: Mobile-friendly Quantization for On-device Language Models EMNLP 2024 ProFormer: Towards On-Device LSH Projection Based Transformers EACL 2021