Language Model Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Language Model ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Language Model Projects
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Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory
This project studies how texts written by GPT-2 compare with human-written novels and programming code. The researchers analyzed patterns, repetitions, and structures in the texts. They then created a system that can measure these patterns and classify the texts automatically. The study helps us understand how AI-generated texts work and can improve tools for text analysis, plagiarism detection, and fake news spotting. -
LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models
This project is about detecting unusual events in computer system logs. The proposed system, called LogFiT, can learn normal log patterns on its own without needing labeled data. It uses a smart language model to understand log content and identify when something abnormal happens. Tests show that LogFiT is more accurate and flexible than existing methods. -
A Review on Optimization-Based Automatic Text Summarization Approach
This project studies how computers can automatically create short and meaningful summaries from long texts. It focuses on optimization-based methods that make summaries more accurate and useful. The paper compares these methods with machine learning and deep learning techniques. It also suggests ways to improve automatic summarization for real-time applications in the future.
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