activity
20202023
most citedSAPIEN: Affective Virtual Agents Powered by Large Language Models

19 citations · 29 across the 9 of their papers we have counts for

collaborators

10 papers

cs.HC2023★ 19 cited

SAPIEN: Affective Virtual Agents Powered by Large Language Models

Masum Hasan, Cengiz Ozel, Sammy Potter +1

In this demo paper, we introduce SAPIEN, a platform for high-fidelity virtual agents driven by large language models that can hold open domain conversations with users in 13 differ…

cs.SE2023

ReviewRanker: A Semi-Supervised Learning Based Approach for Code Review Quality Estimation

Saifullah Mahbub, Md. Easin Arafat, Chowdhury Rafeed Rahman +2

Code review is considered a key process in the software industry for minimizing bugs and improving code quality. Inspection of review process effectiveness and continuous improveme…

cs.LG2023★ 1 cited

Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

Rishov Paul, Md. Mohib Hossain, Mohammed Latif Siddiq +3

Sequence-to-sequence models have been used to transform erroneous programs into correct ones when trained with a large enough dataset. Some recent studies also demonstrated strong…

cs.CV2022

Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait Task Videos

Wasifur Rahman, Masum Hasan, Md Saiful Islam +6

In this paper, we investigated whether we can 1) detect participants with ataxia-specific gait characteristics (risk-prediction), and 2) assess severity of ataxia from gait (severi…

cs.CL2021

CoDesc: A Large Code-Description Parallel Dataset

Masum Hasan, Tanveer Muttaqueen, Abdullah Al Ishtiaq +6

Translation between natural language and source code can help software development by enabling developers to comprehend, ideate, search, and write computer programs in natural lang…

cs.SE2021★ 6 cited

BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?

Abdullah Al Ishtiaq, Masum Hasan, Md. Mahim Anjum Haque +5

Millions of repetitive code snippets are submitted to code repositories every day. To search from these large codebases using simple natural language queries would allow programmer…

cs.CL2021★ 2 cited

Text2App: A Framework for Creating Android Apps from Text Descriptions

Masum Hasan, Kazi Sajeed Mehrab, Wasi Uddin Ahmad +1

We present Text2App -- a framework that allows users to create functional Android applications from natural language specifications. The conventional method of source code generati…

cs.SE2021

Using a Balanced Scorecard to Identify Opportunities to Improve Code Review Effectiveness: An Industrial Experience Report

Masum Hasan, Anindya Iqbal, Mohammad Rafid Ul Islam +2

Peer code review is a widely adopted software engineering practice to ensure code quality and ensure software reliability in both the commercial and open-source software projects.…

cs.CL2020★ 1 cited

Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation

Tahmid Hasan, Abhik Bhattacharjee, Kazi Samin +4

Despite being the seventh most widely spoken language in the world, Bengali has received much less attention in machine translation literature due to being low in resources. Most p…

cs.SE2020

Review4Repair: Code Review Aided Automatic Program Repairing

Faria Huq, Masum Hasan, Mahim Anzum Haque Pantho +3

Context: Learning-based automatic program repair techniques are showing promise to provide quality fix suggestions for detected bugs in the source code of the software. These tools…