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researcher

Rahul Sharma

4 papers hereh-index 4132 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.PL2
  • cs.SE2
same name
  • Rahul Sharma — 14 papers, h 3
  • Rahul Sharma — 8 papers, h 11
  • Rahul Sharma — 7 papers, h 12
  • Rahul Sharma — 6 papers, h 9
  • Rahul Sharma — 5 papers, h 28
  • Rahul Sharma — 4 papers, h 15

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedFinding Inductive Loop Invariants using Large Language Models

15 citations · 17 across the 3 of their papers we have counts for

collaborators

4 papers

cs.SE2026

Towards Leveraging LLMs to Generate Abstract Penetration Test Cases from Software Architecture

Mahdi Jafari, Rahul Sharma, Sami Naim +2

Software architecture models capture early design decisions that strongly influence system quality attributes, including security. However, architecture-level security assessment a…

cs.SE2024★ 2 cited

Enabling Memory Safety of C Programs using LLMs

Nausheen Mohammed, Akash Lal, Aseem Rastogi +2

Memory safety violations in low-level code, written in languages like C, continues to remain one of the major sources of software vulnerabilities. One method of removing such viola…

cs.PL2023★ 15 cited

Finding Inductive Loop Invariants using Large Language Models

Adharsh Kamath, Aditya Senthilnathan, Saikat Chakraborty +6

Loop invariants are fundamental to reasoning about programs with loops. They establish properties about a given loop's behavior. When they additionally are inductive, they become u…

cs.PL2023

Ranking LLM-Generated Loop Invariants for Program Verification

Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury +6

Synthesizing inductive loop invariants is fundamental to automating program verification. In this work, we observe that Large Language Models (such as gpt-3.5 or gpt-4) are capable…

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