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However, it's not immediately obvious why giving same information twice helps here. The model knows the old string, and if we give the closest matching region (which the file edit tool does), then it can derive the diff itself (which it should be good at).
Do you have some comparison between the two approaches with respect to model's followup accuracy?
was using augment and i think their diff feedback was pretty cool. maybe smth like this would be useful for wcgw too?
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