Ajwad Abrar

Orcid: 0009-0003-8515-9394

According to our database1, Ajwad Abrar authored at least 14 papers between 2025 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Addressing Data Scarcity in Bangla Fake News Detection: An LLM-Based Dataset Augmentation Approach.
CoRR, May, 2026

Religious bias landscape in language and text-to-image models: analysis, detection, and debiasing strategies.
AI Soc., April, 2026

CogniAlign: survivability-grounded multi-agent moral reasoning for safe and transparent AI.
AI Ethics, April, 2026

MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification.
CoRR, February, 2026

BanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla Summarization.
CoRR, February, 2026

Assessing Large Language Models for Medical QA: Zero-Shot and LLM-as-a-Judge Evaluation.
CoRR, February, 2026

2025
Distinguishing Repetition Disfluency from Morphological Reduplication in Bangla ASR Transcripts: A Novel Corpus and Benchmarking Analysis.
CoRR, November, 2025

Faithful Summarization of Consumer Health Queries: A Cross-Lingual Framework with LLMs.
CoRR, November, 2025

BanglaMedQA and BanglaMMedBench: Evaluating Retrieval-Augmented Generation Strategies for Bangla Biomedical Question Answering.
CoRR, November, 2025

FirstAidQA: A Synthetic Dataset for First Aid and Emergency Response in Low-Connectivity Settings.
CoRR, November, 2025

From Chat to Checkup: Can Large Language Models Assist in Diabetes Prediction?
CoRR, June, 2025

Performance Evaluation of Large Language Models in Bangla Consumer Health Query Summarization.
CoRR, May, 2025

Social media polarization during conflict: Insights from an ideological stance dataset on Israel-Palestine Reddit comments.
CoRR, February, 2025

Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025


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