This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

RAG (Retrieval Augmented Generation) is generally used for generating results from the
existing knowledge-base. RAG refers to finding references (R), Adding references (A) and …

This paper presents a novel approach to predicting esterification procedures in organic
chemistry by employing generative large language models (LLMs) to interpret and translate …

Semi-supervised dialogue summarization (SSDS) leverages model-generated summaries to
reduce reliance on human-labeled data and improve the performance of summarization …

Using supervised automatic summarisation methods requires sufficient corpora that include
pairs of documents and their summaries. Similarly to many tasks in natural language …

In the field of abstract text summarization, architectures based on encoder-decoder
frameworks are widely applied to sequence-to-sequence generation tasks and can …

Machine translation serves as a crucial tool for breaking down language barriers and
facilitating communication and information access across diverse linguistic contexts …

Social media platforms have emerged as invaluable sources of real-time information,
particularly during emergencies and events. Efficient and accurate extraction of location …

Nowadays, deep learning models are used to summarize the large volume of text data to
understand its intent effectively. Processing huge amounts of data can lead to an Information …

This paper points out a vacuum in the literature on text summarization: not enough attention
has been paid to methods for Indian languages. This research investigates the current state …