finding
active
finding:vs-standard-achieves-kl-divergence-of-0-12-0-13-from-pretraining-distribution-on-us-state-naming-task-vs-14-89-16-16-for-direct-prompting

VS-Standard achieves KL divergence of 0.12-0.13 from pretraining distribution on US state naming task, vs. 14.89-16.16 for Direct prompting

Strong empirical evidence that VS recovers pretraining distribution while direct prompting collapses

Source paper

extracted_from
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
(2025) · Jiayi Zhang · Simon C.H. Yu · Derek Chong · Anthony Sicilia +3

Neighborhood — ranked by edge-count

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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