NoveltyScope: Multi-agent research assistant for novelty assessment of scientific papers
In brief
- NoveltyScope compares a scientific paper with prior work using hybrid search (BM25 + embeddings).
- The system generates a structured report and a five-level novelty score.
- Multi-agent setups reduce scoring errors compared to single-model approaches.
NoveltyScope is a prototype that compares a scientific paper with prior work to produce a structured report and a five-level novelty score. The system uses hybrid search (BM25 and embeddings) and multi-agent evaluation to refine the final score.
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