most citedDistillSeq: A Framework for Safety Alignment Testing in Large Language Models using Knowledge Distillation

11 citations · 21 across the 5 of their papers we have counts for

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cs.SE2024★ 11 cited

DistillSeq: A Framework for Safety Alignment Testing in Large Language Models using Knowledge Distillation

Mingke Yang, Yuqi Chen, Yi Liu +1

Large Language Models (LLMs) have showcased their remarkable capabilities in diverse domains, encompassing natural language understanding, translation, and even code generation. Th…

cs.SE2024

Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models

Ningke Li, Yuekang Li, Yi Liu +3

Large language models (LLMs) have transformed the landscape of language processing, yet struggle with significant challenges in terms of security, privacy, and the generation of se…