Instruction-Tuned LLM Fine-Tuning for Legal Document Summarization — Project Overview
| Abstract |
This M.Tech project topic focuses on Instruction-Tuned LLM Fine-Tuning for Legal Document Summarization. It belongs to the Natural Language Processing area within Artificial Intelligence & Machine Learning. The topic can be used for project selection, synopsis preparation, literature review, implementation planning, and dissertation documentation. Students can begin with the listed reference paper, understand the core research direction, and then customize the work using a suitable dataset, tools, evaluation metrics, and academic requirements. |
| Reference Paper |
Training Language Models to Follow Instructions with Human Feedback |
| Domain |
Artificial Intelligence & Machine Learning |
| Sub-Domain |
Natural Language Processing |
| PDF Download |
Download / View PDF |
| Get Help |
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Message: Hi FE, I need help with "Instruction-Tuned LLM Fine-Tuning for Legal Document Summarization" in "Artificial Intelligence & Machine Learning"
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This resource helps students quickly understand the project idea, reference paper direction, and next step for implementation, synopsis, report writing, or academic documentation support.
