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yingaowang-casia/shushu-novelty-finder
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I want to explore research gaps in retrieval-augmented generation for large language models in chemistry. Use the Shushu Novelty Finder skill to map the literature landscape and then generate 3-5 novel ideas with proposed experiments and kill criteria.
Here is a seed paper on multimodal learning. Use the Shushu Novelty Finder skill to find the closest existing competing work, anticipate reviewer objections, and suggest what minimum experiment would validate a novel extension.
Before I commit to writing a paper on efficient fine-tuning methods, use the Shushu Novelty Finder skill to survey what has already been done in this space and flag which areas are saturated versus which still have room for new work.
Use the Shushu Novelty Finder skill to generate research ideas in graph neural networks for drug discovery, and for each idea include suggested baselines and criteria that would kill or support the idea.
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