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Semantic Variability of Replies Across LLMs: Implications for Designing Conversation-Based Assessment
conversation designLLM variabilitysemantic consistency
2608.24920
Builder Relevance
3h ago70%
Abstract
This study examines the semantic consistency of LLM-generated replies across different models and contexts.
Reality Card
Core Claim
The study demonstrates that both model choice and conversational context significantly affect the semantic similarity of LLM responses, indicating a need for better design strategies to ensure response consistency.
Method / Result
The study found that response similarity varied significantly based on the underlying LLM and the presence of chat history.
Limitations
The findings suggest that prompting and conversational context alone may not guarantee consistent responses across LLMs, which complicates reproducibility.
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