2 papers
cs.CL2026
Cascaded Multi-Granularity Pruning for On-Device LLM Inference in Industrial IoT
Jinghan Wang, Yanjun Chen, Wei Zhang +3
Deploying large language models (LLMs) on Industrial Internet of Things (IIoT) edge devices demands extreme compression, yet existing structured pruning methods collapse at high co…
cs.AI2025
rLLM: Relational Table Learning with LLMs
Weichen Li, Xiaotong Huang, Jianwu Zheng +4
We introduce rLLM (relationLLM), a PyTorch library designed for Relational Table Learning (RTL) with Large Language Models (LLMs). The core idea is to decompose state-of-the-art Gr…