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

1 code implementation • 5 Nov 2023 • 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.

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

1 code implementation • 4 Oct 2023 • Erfan Al-Hossami, Razvan Bunescu, Justin Smith, Ryan Teehan

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

Benchmarking

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

no code implementations • 10 Feb 2022 • Erfan Al-Hossami, Samira Shaikh

Then, we overview the field of conversational assistants and their applications in software engineering and education.

Can We Generate Shellcodes via Natural Language? An Empirical Study

1 code implementation • 8 Feb 2022 • Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh

Writing software exploits is an important practice for offensive security analysts to investigate and prevent attacks.

Code Generation Machine Translation +2

Shellcode_IA32: A Dataset for Automatic Shellcode Generation

1 code implementation • ACL (NLP4Prog) 2021 • Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh

We take the first step to address the task of automatically generating shellcodes, i. e., small pieces of code used as a payload in the exploitation of a software vulnerability, starting from natural language comments.

Code Generation Machine Translation +2

TeamUNCC@LT-EDI-EACL2021: Hope Speech Detection using Transfer Learning with Transformers

1 code implementation • 19 Apr 2021 • Khyati Mahajan, Erfan Al-Hossami, Samira Shaikh

We describe our approach to fine-tuning RoBERTa for Hope Speech detection in English and our approach to fine-tuning XLM-RoBERTa for Hope Speech detection in Tamil and Malayalam, two low resource Indic languages.

Hope Speech Detection for English Hope Speech Detection for Malayalam +4