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This paper uses GPT-4.1 to annotate 9,000 support conversations and decompose customer satisfaction into component axes, validating the annotations against self-reported ratings and revealing lower satisfaction in full-census data compared to survey responses.
This paper investigates how much structure a task needs from a world model, showing that the objective's dimensionality determines how many predictive directions the model installs, with the common scalar reward objective being only the rank-one corner of value equivalence.
This research explores using hydrogels to increase the dimensionality of transistors, potentially enabling new flexible or bioelectronic devices.