arXiv cs.AIPaper
Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models
The useful finding here is narrow but real: let the model write its own extraction prompt and it performs almost as well as a human expert's, cutting a real bottleneck in literature review pipelines. The failure mode, models hallucinating or missing references when asked to find their own sources, is the part builders should design around now rather than assume away.