activity
20222025
most citedCan We Generate Shellcodes via Natural Language? An Empirical Study

23 citations · 27 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Reasoning Trajectories for Socratic Debugging of Student Code: From Misconceptions to Contradictions and Updated Beliefs

Erfan Al-Hossami, Razvan Bunescu

In Socratic debugging, instructors guide students towards identifying and fixing a bug on their own, instead of providing the bug fix directly. Most novice programmer bugs are caus…

cs.SE2025

McMining: Automated Discovery of Misconceptions in Student Code

Erfan Al-Hossami, Razvan Bunescu

When learning to code, students often develop misconceptions about various programming language concepts. These can not only lead to bugs or inefficient code, but also slow down th…

cs.IR2025

Engineering Serendipity through Recommendations of Items with Atypical Aspects

Ramit Aditya, Razvan Bunescu, Smita Nannaware +1

A restaurant dinner or a hotel stay may lead to memorable experiences when guests encounter unexpected aspects that also match their interests. For example, an origami-making stati…

cs.CL2023

Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models

Smita Nannaware, Erfan Al-Hossami, Razvan Bunescu

A restaurant dinner may become a memorable experience due to an unexpected aspect enjoyed by the customer, such as an origami-making station in the waiting area. If aspects that ar…

cs.CL20231 cited

Can Language Models Employ the Socratic Method? Experiments with Code Debugging

Erfan Al-Hossami, Razvan Bunescu, Justin Smith +1

When employing the Socratic method of teaching, instructors guide students toward solving a problem on their own rather than providing the solution directly. While this strategy ca…

cs.CL20223 cited

A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective

Erfan Al-Hossami, Samira Shaikh

In this survey paper, we overview major deep learning methods used in Natural Language Processing (NLP) and source code over the last 35 years. Next, we present a survey of the app…