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finding:llm-alignment-score-to-dinov2-shows-an-emergence-esque-trend-with-gsm8k-mathematical-reasoning-performance

LLM alignment score to DINOv2 shows an emergence-esque trend with GSM8K mathematical reasoning performance

Alignment predicts math performance with emergent pattern

Source paper

extracted_from

The Platonic Representation Hypothesis

(2024) · Minyoung Huh · Brian Cheung · Tongzhou Wang · Phillip Isola

Neighborhood — ranked by edge-count

Claims (1)

claim

Alignment with vision models corresponds to improved performance on downstream language tasks including commonsense reasoning and math
supports
Claims that alignment score is a proxy for general capability

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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Key cross-modal alignment result
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Prior finding showing scale-dependent self-awareness, consistent with the scale effect observed in the paper's Experiment 1
LLMs implicitly learn a distribution of 'consistent reasoning paths', and inconsistent reasoning forms statistical outliers with low probability under this distribution.hypothesis0.752
Theoretical hypothesis about the mechanism underlying LLM error detection and reflection.
Over 80% IIA achieved using complex non-linear alignment maps on randomly initialised MLPs in hierarchical equality taskfinding0.746
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Skeptical prior work motivating the need to validate self-reports against internal states rather than taking them at face value