The authors propose an LLM-distilled retriever trained on rephrased, partial, and incremental idea variants, and show it improves retrieval and novelty detection on two new closed-domain datasets in marketing and NLP.
The increasing reliance on artificial intelligence in the healthcare industry is transforming patient diagnostics and treatment planning
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Harnessing Large Language Models for Scientific Novelty Detection
The authors propose an LLM-distilled retriever trained on rephrased, partial, and incremental idea variants, and show it improves retrieval and novelty detection on two new closed-domain datasets in marketing and NLP.