[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.

[ACL'23 Findings] This is the code repo for our ACL'23 Findings paper "ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval".

[AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.

A project demonstrating the use of Large Language Models (LLMs) for text classification using the RoBERTa model.

Recurrent Capsule Network for Text Classification

News Topic Classifier: Fine-tuned BERT model for lightning-fast news categorization

Fine-tuning doesn't require a server cluster! This project uses QLoRA to optimize BERT for news classification. By combining 4-bit quantization and LoRA, I slashed VRAM usage by 75% and trained only 2% of parameters. The result? A pro-level classifier in a tiny 20MB adapter file—high performance, minimal hardware.