109 citations · 159 across the 10 of their papers we have counts for
3 papers · 1 filter
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat +4
Proof-oriented programs mix computational content with proofs of program correctness. However, the human effort involved in programming and proving is still substantial, despite th…
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…
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…