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cs.CL2025★ 1 cited
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs
Sai Krishna Mendu, Harish Yenala, Aditi Gulati +2
Large language models (LLMs) have become integral to various real-world applications, leveraging massive, web-sourced datasets like Common Crawl, C4, and FineWeb for pretraining. W…
cs.CL2025
READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled Data
Rohit Sharma, Shanu Kumar, Avinash Kumar
Pre-trained transformer models such as BERT have shown massive gains across many text classification tasks. However, these models usually need enormous labeled data to achieve impr…