activity
20242026
collaborators

13 papers

cs.CL2026

CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees

S M Rafiuddin, Atriya Sen

Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…

cs.CL2026

Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis

S M Rafiuddin, Vamsi Krishna Pavuluri, Atriya Sen

Aspect-Based Sentiment Analysis (ABSA) requires models to identify sentiment toward specific aspects rather than relying on the global polarity of a sentence. This makes counterfac…

cs.LG2025

Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops

S M Rafiuddin

Understanding learner emotions in online education is critical for improving engagement and personalized instruction. While prior work in emotion recognition has explored multimoda…

cs.CL2025

Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models

S M Rafiuddin, Muntaha Nujat Khan

Transformer attention scales quadratically with sequence length O(n^2), limiting long-context use. We propose Adaptive Retention, a probabilistic, layer-wise token selection mechan…

cs.CV2025

High Cursive Complex Character Recognition using GAN External Classifier

S M Rafiuddin

Handwritten characters can be trickier to classify due to their complex and cursive nature compared to simple and non-cursive characters. We present an external classifier along wi…

cs.CV2025

Isolated Bangla Handwritten Character Classification using Transfer Learning

Abdul Karim, S M Rafiuddin, Jahidul Islam Razin +1

Bangla language consists of fifty distinct characters and many compound characters. Several notable studies have been performed to recognize Bangla characters, both handwritten and…

cs.CL2025

A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network

Md. Jahidul Islam Razin, Md. Abdul Karim, M. F. Mridha +2

Business sentiment analysis (BSA) is one of the significant and popular topics of natural language processing. It is one kind of sentiment analysis techniques for business purposes…

q-bio.PE2025

Estimation of Phylogenetic Tree using Gene Sequencing Data

S M Rafiuddin

A phylogenetic tree is an important way in Bioinformatics to find the evolutionary relationship among biological species. In this research, a proposed model is described for the es…

cs.CL2025

Ranking of Bangla Word Graph using Graph-based Ranking Algorithms

S M Rafiuddin

Ranking words is an important way to summarize a text or to retrieve information. A word graph is a way to represent the words of a sentence or a text as the vertices of a graph an…

cs.CL2025

Performance Analysis of Supervised Machine Learning Algorithms for Text Classification

Sadia Zaman Mishu, S M Rafiuddin

The demand for text classification is growing significantly in web searching, data mining, web ranking, recommendation systems, and so many other fields of information and technolo…

cs.CL2025

AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis

S M Rafiuddin, Sadia Kamal, Mohammed Rakib +2

We introduce AdaptiSent, a new framework for Multimodal Aspect-Based Sentiment Analysis (MABSA) that uses adaptive cross-modal attention mechanisms to improve sentiment classificat…

cs.CY2025

A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models

Sadia Kamal, Lalu Prasad Yadav Prakash, S M Rafiuddin +3

The Political Compass Test (PCT) and similar surveys are commonly used to assess political bias in auto-regressive LLMs. Our rigorous statistical experiments show that while change…

cs.CL2024

Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis

S M Rafiuddin, Mohammed Rakib, Sadia Kamal +1

Aspect-Based Sentiment Analysis (ABSA) is a fine-grained linguistics problem that entails the extraction of multifaceted aspects, opinions, and sentiments from the given text. Both…