Future crowdworker instructions asking for contradictory rather than diverse responses may improve data collection

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• How do diverse model responses compare in actual conversational context with users?question0.744
  Future work question about practical deployment of diverse response generation
• Future models with substantially increased capabilities will exhibit alignment faking that is more consistent, robust, and harder to detecthypothesis0.743
  Extrapolation from scale-emergence finding to future risk
• The results are more widely applicable; similar results will come from asking people in other cultures to answer analogous questions.claim0.741
  Universalist claim predicting cross-cultural generality.
• The contradiction relation is more useful than the neutral relation for measuring semantic diversityclaim0.740
  Key finding from ablation study on NLI prediction categories
• Larger numbers of entailment predictions indicate lack of diversity; larger numbers of contradiction predictions indicate higher diversityhypothesis0.737
  Design hypothesis for NLI scoring weights in Baseline NLI Diversity
• The same charitable interpretation must be extended to all systems that display observable response patterns that are consistent with animal cognition, including artificial intelligences, metaplastic materials, and robotic systems.claim0.735
  Call to extend the inference of sentience to non-biological systems as well.
• A diverse set of responses for a conversation captures contradictory ways one could respond, measurable by an NLI modelhypothesis0.735
  Core hypothesis motivating the NLI Diversity metric
• Self-inquiry and non-self are not contradictory—experience exists without a fixed experiencer.claim0.734