3 papers
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.…
cs.SE2025
Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs
Marina Sakharova, Abhinav Anand, Mira Mezini
Code-generating Large Language Models (LLMs) have become essential tools in modern software development, enhancing productivity and accelerating development. This paper aims to inv…
cs.SE2025
CodeSSM: Towards State Space Models for Code Understanding
Shweta Verma, Abhinav Anand, Mira Mezini
Although transformers dominate many code-specific tasks, they have significant limitations. This paper explores State Space Models (SSMs) as a promising alternative for code unders…