Gemma-4-It fine-tuned on PubMedQA using SFT & RLVR
Fair, leakage-free 4-arm GraphRAG vs PlainRAG ablation on PubMedQA with paired significance tests. Graph parent-expansion wins +22.5pp (McNemar p<0.0001).
Retrieval-augmented QA over biomedical literature: a reusable pipeline (ingest, retrieve, generate, evaluate) with BM25 and dense FAISS retrieval, grounded LLM answers, REST and GraphQL ingestion, and baseline-benchmarked evaluation on PubMedQA.
Fine-tuned BiomedBERT on PubMedQA for 3-class biomedical question answering (yes/no/maybe) · Streamlit demo · HuggingFace Hub
Fine-tune language models to cite sources and quote evidence using RAFT (Retrieval-Augmented Fine-Tuning) on biomedical QA datasets (PubMedQA, BioASQ).
Fine-tune TinyLlama, Phi-2, and Mistral on PubMedQA using LoRA/QLoRA — side-by-side base vs fine-tuned comparison with Streamlit UI
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