Preprint
Aug 2026
Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed
Small Language Models (SLMs) have emerged as a more efficient alternative to traditional Large Language Models (LLMs), offering promising potential in resource-constrained scenarios. Existing approaches to building SLMs typically follow two paths: training compact models from scratch, or compressing larger pre-trained...
Haokun Lin, Kaijie Zhu, Hao-Bo Xu et al.
· 1 citation