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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…
cs.SE2024
A Critical Study of What Code-LLMs (Do Not) Learn
Abhinav Anand, Shweta Verma, Krishna Narasimhan +1
Large Language Models trained on code corpora (code-LLMs) have demonstrated impressive performance in various coding assistance tasks. However, despite their increased size and tra…