5 citations · 10 across the 4 of their papers we have counts for
4 papers
The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context
Nikhil Verma, Manasa Bharadwaj
Alignment tuning has enabled large language models to excel in reasoning, instruction-following, and minimizing harmful generations. However, despite their widespread deployment, t…
GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification
Ali Pesaranghader, Nikhil Verma, Manasa Bharadwaj
Harmful and offensive communication or content is detrimental to social bonding and the mental state of users on social media platforms. Text detoxification is a crucial task in na…
Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi +6
As natural language interfaces enable users to express increasingly complex natural language queries, there is a parallel explosion of user review content that can allow users to b…
DiffuDetox: A Mixed Diffusion Model for Text Detoxification
Griffin Floto, Mohammad Mahdi Abdollah Pour, Parsa Farinneya +4
Text detoxification is a conditional text generation task aiming to remove offensive content from toxic text. It is highly useful for online forums and social media, where offensiv…