This week
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Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
This is a clean application of LLM-as-structured-extractor on a real data problem, but it's domain-specific and already solved in proof-of-concept. The validation rate is good but not remarkable. If you're building risk-intelligence products in any sector, the pipeline pattern—extract, graph, merge, rank—is portable.
This is a practical reminder that prompt engineering and question design are undervalued levers. An 18-point F1 jump from better queries versus scaling up the model is a hard number worth taking seriously. For builders shipping extraction pipelines: before you retrain on a larger model, spend time on this. The authors release 12K optimized questions, so the threshold for trying it is low.