Automatic Generation of Research Highlights from Scientific Abstracts. - Tohida Rehman; Debarshi Kumar Sanyal; Samiran Chattopadhyay; Plaban Kumar Bhowmick; Partha Pratim Das 001 (EEKE@JCDL, 2021)

Named Entity Recognition Based Automatic Generation of Research Highlights. - Tohida Rehman; Debarshi Kumar Sanyal; Prasenjit Majumder; Samiran Chattopadhyay (SDP@COLING, 2022)

Abstractive Summarization of Scientific Documents: Models and Evaluation Techniques. - Tohida Rehman; Samiran Chattopadhyay; Debarshi Kumar Sanyal (FIRE, 2023)

Generation of Highlights From Research Papers Using Pointer-Generator Networks and SciBERT Embeddings. - Tohida Rehman; Debarshi Kumar Sanyal; Samiran Chattopadhyay; Plaban Kumar Bhowmick; Partha Pratim Das 001 (IEEE Access, 2023)

Abstractive Text Summarization using Attentive GRU based Encoder-Decoder. - Tohida Rehman; Suchandan Das; Debarshi Kumar Sanyal; Samiran Chattopadhyay (CoRR, 2023)

An Analysis of Abstractive Text Summarization Using Pre-trained Models. - Tohida Rehman; Suchandan Das; Debarshi Kumar Sanyal; Samiran Chattopadhyay (CoRR, 2023)

Hallucination Reduction in Long Input Text Summarization. - Tohida Rehman; Ronit Mandal; Abhishek Agarwal; Debarshi Kumar Sanyal (CoRR, 2023)

Research Highlight Generation with ELMo Contextual Embeddings. - Tohida Rehman; Debarshi Kumar Sanyal; Samiran Chattopadhyay (Scalable Comput. Pract. Exp., 2023)

Can Pre-trained Language Models Generate Titles for Research Papers? - Tohida Rehman; Debarshi Kumar Sanyal; Samiran Chattopadhyay (ICADL (1), 2024)

Analysis of Multidomain Abstractive Summarization Using Salience Allocation. - Tohida Rehman; Raghubir Bose; Soumik Dey; Samiran Chattopadhyay (CoRR, 2024)

Transfer Learning and Transformer Architecture for Financial Sentiment Analysis. - Tohida Rehman; Raghubir Bose; Samiran Chattopadhyay; Debarshi Kumar Sanyal (CoRR, 2024)

How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning. - Tohida Rehman; Debarshi Kumar Sanyal; Samiran Chattopadhyay (CoRR, 2025)

Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets. - Tohida Rehman; Soumabha Ghosh; Kuntal Das; Souvik Bhattacharjee; Debarshi Kumar Sanyal; Samiran Chattopadhyay (CoRR, 2025)

Comparative Analysis of Abstractive Summarization Models for Clinical Radiology Reports. - Anindita Bhattacharya; Tohida Rehman; Debarshi Kumar Sanyal; Samiran Chattopadhyay (CoRR, 2025)