2 papers
cs.LG2026
Prox: Training-Free FFN Activation Sparsity via Approximate Intermediate-Channel Salience in LLMs
Jinyi Liu, Wei Chen, Pengyu Chen +4
Feed-forward networks (FFNs) dominate memory traffic and computation in large language model (LLM) inference, making them a primary target for activation sparsification. However, e…
cs.PL2026
Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study
Xinyi Yuan, Wei Chen, Jinyi Liu +5
Deep learning compilers (DLCs) are designed to translate deep learning programs into optimized, hardware-specific code. Typically, DLC frontends translate programs into graph-based…