ToxSearch-S applies unsupervised speciation to evolutionary prompt search, maintaining capacity-limited species with exemplar leaders and species-aware selection to achieve higher peak toxicity and broader semantic coverage than standard methods.
arXiv preprint arXiv:2310.00892 (2023)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.NE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
ToxSearch-S extends evolutionary toxicity search with embedding-driven speciation and MPI distribution, matching baseline peak toxicity while showing lower search pressure and 1.8-3.2x speedups.
citing papers explorer
-
Diversifying Toxicity Search in Large Language Models Through Speciation
ToxSearch-S applies unsupervised speciation to evolutionary prompt search, maintaining capacity-limited species with exemplar leaders and species-aware selection to achieve higher peak toxicity and broader semantic coverage than standard methods.
-
Distributed Quality-Diversity Search for Toxicity in Large Language Models
ToxSearch-S extends evolutionary toxicity search with embedding-driven speciation and MPI distribution, matching baseline peak toxicity while showing lower search pressure and 1.8-3.2x speedups.