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applications and impact of llms in leagal domain
- 1. APPLICATIONS AND IMPACT OF LLMs IN LEGAL DOMAIN
- 2. EXISTING LLM FINE TUNING (WITH DOMAIN RELATED CORPUS) BASIC APPROACH
- 3. PROBLEMS: • Irrelevant quoting and examples. • Doesn’t discriminate between existing and obsolete laws. • Hallucination. • Fake laws and articles. • Might confuse between other countries law when finetuning an existing open sourced model.
- 4. REFERENCE PAPERS: • Lawyer LLaMA: Enhancing LLMs with Legal Knowledge • ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases • Llama 2: Open Foundation and Fine-Tuned Chat Models • Training language models to follow instructions with human feedback • Llama 2: Open Foundation and Fine-Tuned Chat Models
- 5. DATA SET: • Chinese Legal Corpus • National Judicial Examination • JE-Q2EA, JE-QA2E and JE-EXPERT • Legal Consultation
- 7. • SUPERVISED FINE TUNING • RETRIEVAL AUGMENTED GENERATION • Train with human intervention • Supervised Finetuned data • Train with random articles to alleviate hallucination and stop it from quoting all articles including the irrelevant one.
- 8. ILDC (Indian Legal Documents Corpus) Law school examinations Focus on particular segment