Domain-adapted financial QA with NVIDIA NIM + NeMo LoRA fine-tuning. 126% Exact Match improvement on FinanceBench. Built with NVIDIA DLI course workflow.
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Mar 10, 2026 - Jupyter Notebook
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financial-qa
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Financial report grounded QA post-training with QLoRA SFT, DPO preference learning, citation/numeric evaluation, and badcase analysis.
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May 2, 2026 - Python
AI analyst for SEC 10-K filings. RAG + LangGraph agent + GRPO fine-tuning on FinQA. 11.5% → 20.5% accuracy progression.
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May 7, 2026 - Python
Controlled study: does continued pre-training on SEC 10-K filings help downstream financial QA? A clean negative result on a fair evaluation instrument. Qwen2.5-3B; FinQA/TAT-QA; CPT (LoRA and full-parameter), SFT, DPO.
nlp reproducible-research lora domain-adaptation peft dpo negative-results financial-nlp large-language-models qwen continued-pretraining supervised-fine-tuning finqa financial-qa tatqa
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Jun 18, 2026 - Python
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