activity
20192024
most citedContrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element

25 citations · 48 across the 22 of their papers we have counts for

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Showing 2024Show all

14 papers · 1 filter

cs.CL2024

Code LLMs: A Taxonomy-based Survey

Nishat Raihan, Christian Newman, Marcos Zampieri

Large language models (LLMs) have demonstrated remarkable capabilities across various NLP tasks and have recently expanded their impact to coding tasks, bridging the gap between na…

cs.CL2024★ 2 cited

MojoBench: Language Modeling and Benchmarks for Mojo

Nishat Raihan, Joanna C. S. Santos, Marcos Zampieri

The recently introduced Mojo programming language (PL) by Modular, has received significant attention in the scientific community due to its claimed significant speed boost over Py…

cs.LG2024★ 5 cited

Large Language Models in Computer Science Education: A Systematic Literature Review

Nishat Raihan, Mohammed Latif Siddiq, Joanna C. S. Santos +1

Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these…

cs.DL2024

CiteClick: A Browser Extension for Real-Time Scholar Citation Tracking

Nishat Raihan

This technical report presents CiteClick, a browser extension designed to monitor and track Google Scholar citation counts for multiple researchers in real-time. We discuss the mot…

cs.CL2024★ 9 cited

mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code Generation

Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri

Recent advancements in large language models (LLMs) have significantly enhanced code generation from natural language prompts. The HumanEval Benchmark, developed by OpenAI, remains…

cs.CL2024★ 1 cited

MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Prompting

Al Nahian Bin Emran, Amrita Ganguly, Sadiya Sayara Chowdhury Puspo +2

In this paper, we present MasonTigers' participation in SemEval-2024 Task 10, a shared task aimed at identifying emotions and understanding the rationale behind their flips within…

cs.CL2024★ 1 cited

EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detection

Nishat Raihan, Dhiman Goswami, Antara Mahmud +2

Code-mixing is a well-studied linguistic phenomenon that occurs when two or more languages are mixed in text or speech. Several studies have been conducted on building datasets and…

cs.CL2024

MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness

Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Md Nishat Raihan +3

This paper presents the MasonTigers entry to the SemEval-2024 Task 1 - Semantic Textual Relatedness. The task encompasses supervised (Track A), unsupervised (Track B), and cross-li…

cs.CL2024

MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection

Sadiya Sayara Chowdhury Puspo, Md Nishat Raihan, Dhiman Goswami +3

This paper presents the MasonTigers entry to the SemEval-2024 Task 8 - Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection. The task encompasse…

cs.CL2024★ 1 cited

CSEPrompts: A Benchmark of Introductory Computer Science Prompts

Nishat Raihan, Dhiman Goswami, Sadiya Sayara Chowdhury Puspo +3

Recent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on massive amounts of data and oft…

cs.CL2024

MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thoughts

Md Nishat Raihan, Dhiman Goswami, Al Nahian Bin Emran +3

Our paper presents team MasonTigers submission to the SemEval-2024 Task 9 - which provides a dataset of puzzles for testing natural language understanding. We employ large language…

cs.CL2024★ 1 cited

MasonPerplexity at Multimodal Hate Speech Event Detection 2024: Hate Speech and Target Detection Using Transformer Ensembles

Amrita Ganguly, Al Nahian Bin Emran, Sadiya Sayara Chowdhury Puspo +3

The automatic identification of offensive language such as hate speech is important to keep discussions civil in online communities. Identifying hate speech in multimodal content i…

cs.CL2024

MasonTigers@LT-EDI-2024: An Ensemble Approach Towards Detecting Homophobia and Transphobia in Social Media Comments

Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Md Nishat Raihan +1

In this paper, we describe our approaches and results for Task 2 of the LT-EDI 2024 Workshop, aimed at detecting homophobia and/or transphobia across ten languages. Our methodologi…

cs.CL2024★ 1 cited

MasonPerplexity at ClimateActivism 2024: Integrating Advanced Ensemble Techniques and Data Augmentation for Climate Activism Stance and Hate Event Identification

Al Nahian Bin Emran, Amrita Ganguly, Sadiya Sayara Chowdhury Puspo +2

The task of identifying public opinions on social media, particularly regarding climate activism and the detection of hate events, has emerged as a critical area of research in our…