26 citations · 48 across the 15 of their papers we have counts for
5 papers · 1 filter
Multi-Amateur Contrastive Decoding for Text Generation
Jaydip Sen, Subhasis Dasgupta, Hetvi Waghela
Contrastive Decoding (CD) has emerged as an effective inference-time strategy for enhancing open-ended text generation by exploiting the divergence in output probabilities between…
Context-Enhanced Contrastive Search for Improved LLM Text Generation
Jaydip Sen, Rohit Pandey, Hetvi Waghela
Recently, Large Language Models (LLMs) have demonstrated remarkable advancements in Natural Language Processing (NLP). However, generating high-quality text that balances coherence…
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
Roopkatha Dey, Aivy Debnath, Sayak Kumar Dutta +4
In various real-world applications such as machine translation, sentiment analysis, and question answering, a pivotal role is played by NLP models, facilitating efficient communica…
Generative AI-Based Text Generation Methods Using Pre-Trained GPT-2 Model
Rohit Pandey, Hetvi Waghela, Sneha Rakshit +5
This work delved into the realm of automatic text generation, exploring a variety of techniques ranging from traditional deterministic approaches to more modern stochastic methods.…
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
Hetvi Waghela, Sneha Rakshit, Jaydip Sen
This paper introduces a novel adversarial attack method targeting text classification models, termed the Modified Word Saliency-based Adversarial At-tack (MWSAA). The technique bui…