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20162026
most citedA Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media

7 citations · 18 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization

Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1

Large language models pretrained on general-domain corpora often exhibit tokenization inefficiencies when applied to specialized domains. Although continual pretraining for domain…

cs.CL20253 cited

Evaluation of LLMs in Medical Text Summarization: The Role of Vocabulary Adaptation in High OOV Settings

Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1

Large Language Models (LLMs) recently achieved great success in medical text summarization by simply using in-context learning. However, these recent efforts do not perform fine-gr…

cs.CL20246 cited

Adaptive BPE Tokenization for Enhanced Vocabulary Adaptation in Finetuning Pretrained Language Models

Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1

In this work, we show a fundamental limitation in vocabulary adaptation approaches that use Byte-Pair Encoding (BPE) tokenization scheme for fine-tuning pretrained language models…

cs.CL2024

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization

Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1

This work presents a dynamic vocabulary adaptation strategy, MEDVOC, for fine-tuning pre-trained language models (PLMs) like BertSumAbs, BART, and PEGASUS for improved medical text…

cs.CL20221 cited

"Dummy Grandpa, do you know anything?": Identifying and Characterizing Ad hominem Fallacy Usage in the Wild

Utkarsh Patel, Animesh Mukherjee, Mainack Mondal

Today, participating in discussions on online forums is extremely commonplace and these discussions have started rendering a strong influence on the overall opinion of online users…