Gongbo Liang

A Mutation-based Text Generation for Adversarial Machine Learning Applications

2022 · arXiv (Cornell University)

Many natural language related applications involve text generation, created by humans or machines. While in many of those applications machines support humans, yet in few others, (e.g. adversarial machine learning, social bots and trolls) machines …

Adversarial Text Perturbation Generation and Analysis

2023

With the evolution of applications of text generations in social networks, the genuineness of such text is questioned. Machine learning language based models such as GPT now can generate responses to complex questions which can …

Measuring and Improving the Efficiency of Python Code Generated by LLMs Using CoT Prompting and Fine-Tuning

2025 · IEEE Access

The burgeoning sophistication of Artificial Intelligence (AI) has catalyzed the rapid proliferation of Large Language Models (LLMs) within software development. These models are increasingly employed to automate the generation of functionally correct code, address complex …