2 papers
cs.CR2026
A Survey on LLM Watermarking: Theory and Deployment
Huy Phan, Kieu Dang, Ojaswi Dulal +4
Large language models (LLMs) are increasingly embedded in high-impact workflows, yet their ability to generate fluent text at scale has amplified risks of provenance ambiguity, mod…
cs.LG2025
EcoSpa: Efficient Transformer Training with Coupled Sparsity
Jinqi Xiao, Cheng Luo, Lingyi Huang +8
Transformers have become the backbone of modern AI, yet their high computational demands pose critical system challenges. While sparse training offers efficiency gains, existing me…