2 papers
cs.AI2026
Towards Understanding What State Space Models Learn About Code
Jiali Wu, Abhinav Anand, Shweta Verma +1
State Space Models (SSMs) have emerged as an efficient alternative to the Transformer architecture. Prior work shows that, when trained under comparable conditions, SSMs can match…
cs.LG2026
Analysis of Long Range Dependency Understanding in State Space Models
Srividya Ravikumar, Abhinav Anand, Shweta Verma +1
Although state-space models (SSMs) have demonstrated strong performance on long-sequence benchmarks, most research has emphasized predictive accuracy rather than interpretability.…