Structured supervision—encoding how papers should be synthesized together—is more effective for training ideation models than prompting alone, and combining anchor-based training with retrieval produces the best results.
This paper teaches language models to generate research ideas by synthesizing multiple papers, using structured specifications called 'anchors' that capture how papers should be combined.