3 papers
cs.CL2026
Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code Understanding
Adam Å torek, Mukur Gupta, Samira Hajizadeh +2
Large language models (LLMs) are increasingly deployed for understanding large codebases, but whether they understand operational semantics of long code context or rely on pattern…
cs.CL2026
Retroactive Chain-of-Thought (RetroCoT): Forensic Reconstruction Prompts as a Safety Diagnostic Across Model Generations
Samira Hajizadeh
Safety alignment in large language models is typically evaluated against direct, imperative harmful requests. We show that this alignment is highly conditioned on pragmatic registe…
cs.PL2026
EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback
Samira Hajizadeh, Suman Jana
Large language models (LLMs) often generate code that is functionally correct but inefficient in runtime and memory. Prior approaches to improving code efficiency typically rely on…