7 citations · 16 across the 16 of their papers we have counts for
17 papers · 1 filter
Evaluating Large Language Models for Multilingual Abstractive Summarization: A Comprehensive Study of English and Bengali
Khan Mahi Al Atahar, Nazifa Tasneem, Ajwad Abrar
Abstractive summarization remains challenging across languages, where linguistic quality and factual consistency may diverge, particularly in low-resource settings. We present a st…
Who Receives Respect? A Counterfactual Benchmark for Honorific Allocation Bias in Bengali
Ajwad Abrar, Md Kamrul Hasan, Hasan Mahmud
Bengali has no grammatical gender, but honorificity is obligatory: every third-person reference must choose ordinary or respectful register. English has no such signal, so the syst…
LinguIUTics at PsyDefDetect: Iterative Imbalance-Aware Fine-tuning of Qwen3-8B for Psychological Defense Mechanism Classification
Shefayat E Shams Adib, Ahmed Alfey Sani, Md Hasibur Rahman Alif +1
Detecting psychological defense mechanisms in conversational text remains a challenging clinical NLP problem. For the PsyDefDetect 2026 shared task (nine-class utterance classifica…
Addressing Data Scarcity in Bangla Fake News Detection: An LLM-Based Dataset Augmentation Approach
Ahmed Alfey Sani, Kazi Akib Zaoad, Shefayat E Shams Adib +2
The growing spread of misinformation in digital media highlights the need for reliable fake news detection systems, yet progress in under-resourced languages such as Bangla is limi…
BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali
Shefayat E Shams Adib, Ahmed Alfey Sani, Ekramul Alam Esham +3
Despite Bengali being the sixth most spoken language in the world, no prior work has systematically evaluated hallucination in large language models (LLMs) for Bengali. We introduc…
BanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla Summarization
Ahmed Rafid, Rumman Adib, Fariya Ahmed +2
Evaluating factual consistency is essential for reliable text summarization, particularly in high-stakes domains such as healthcare and news. However, most existing evaluation metr…
Assessing Large Language Models for Medical QA: Zero-Shot and LLM-as-a-Judge Evaluation
Shefayat E Shams Adib, Ahmed Alfey Sani, Ekramul Alam Esham +2
Recently, Large Language Models (LLMs) have gained significant traction in medical domain, especially in developing a QA systems to Medical QA systems for enhancing access to healt…
MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification
Kazi Samin Yasar Alam, Md Tanbir Chowdhury, Tamim Ahmed +2
Bangla-English code-mixing is widespread across South Asian social media, yet resources for implicit meaning identification in this setting remain scarce. Existing sentiment and sa…
Distinguishing Repetition Disfluency from Morphological Reduplication in Bangla ASR Transcripts: A Novel Corpus and Benchmarking Analysis
Zaara Zabeen Arpa, Sadnam Sakib Apurbo, Nazia Karim Khan Oishee +1
Automatic Speech Recognition (ASR) transcripts, especially in low-resource languages like Bangla, contain a critical ambiguity: word-word repetitions can be either Repetition Disfl…
Faithful Summarization of Consumer Health Queries: A Cross-Lingual Framework with LLMs
Ajwad Abrar, Nafisa Tabassum Oeshy, Prianka Maheru +2
Summarizing consumer health questions (CHQs) can ease communication in healthcare, but unfaithful summaries that misrepresent medical details pose serious risks. We propose a frame…
BanglaMedQA and BanglaMMedBench: Evaluating Retrieval-Augmented Generation Strategies for Bangla Biomedical Question Answering
Sadia Sultana, Saiyma Sittul Muna, Mosammat Zannatul Samarukh +2
Developing accurate biomedical Question Answering (QA) systems in low-resource languages remains a major challenge, limiting equitable access to reliable medical knowledge. This pa…
FirstAidQA: A Synthetic Dataset for First Aid and Emergency Response in Low-Connectivity Settings
Saiyma Sittul Muna, Rezwan Islam Salvi, Mushfiqur Rahman Mushfique +1
In emergency situations, every second counts. The deployment of Large Language Models (LLMs) in time-sensitive, low or zero-connectivity environments remains limited. Current model…
From Chat to Checkup: Can Large Language Models Assist in Diabetes Prediction?
Shadman Sakib, Oishy Fatema Akhand, Ajwad Abrar
While Machine Learning (ML) and Deep Learning (DL) models have been widely used for diabetes prediction, the use of Large Language Models (LLMs) for structured numerical data is st…
Performance Evaluation of Large Language Models in Bangla Consumer Health Query Summarization
Ajwad Abrar, Farzana Tabassum, Sabbir Ahmed
Consumer Health Queries (CHQs) in Bengali (Bangla), a low-resource language, often contain extraneous details, complicating efficient medical responses. This study investigates the…
Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs
Mohsinul Kabir, Ajwad Abrar, Sophia Ananiadou
A large number of studies rely on closed-style multiple-choice surveys to evaluate cultural alignment in Large Language Models (LLMs). In this work, we challenge this constrained e…
Social media polarization during conflict: Insights from an ideological stance dataset on Israel-Palestine Reddit comments
Hasin Jawad Ali, Ajwad Abrar, S. M. Hozaifa Hossain +1
In politically sensitive scenarios like wars, social media serves as a platform for polarized discourse and expressions of strong ideological stances. While prior studies have expl…
Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies
Ajwad Abrar, Nafisa Tabassum Oeshy, Mohsinul Kabir +1
Note: This paper includes examples of potentially offensive content related to religious bias, presented solely for academic purposes. The widespread adoption of language models hi…