Md Shad Akhtar

Detecting and Understanding Harmful Memes: A Survey

2022

The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audio content, but typically in isolation. Yet, harmful content often combines …

Manifold-Preserving Transformers are Effective for Short-Long Range Encoding

2023 · arXiv (Cornell University)

Multi-head self-attention-based Transformers have shown promise in different learning tasks. Albeit these models exhibit significant improvement in understanding short-term and long-term contexts from sequences, encoders of Transformers and their variants fail to preserve layer-wise contextual …

Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization

2024

In mental health counseling, condensing dialogues into concise and relevant summaries (aka counseling notes) holds pivotal significance.Large Language Models (LLMs) exhibit remarkable capabilities in various generative tasks; however, their adaptation to domainspecific intricacies remains challenging, …