AI Research
Evaluating the Effects of Prompt Perturbation on Bias and Hallucination in Large Language Models
How subtle prompt adjustments reveal underlying vulnerabilities in LLM reliability and bias.
Large language models (LLMs) have shown remarkable capabilities in various natural language processing tasks, leading to their widespread deployment as intelligent assistants in decision-making contexts. However, the increasing complexity of these models raises concerns about the...
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ArXiv CS.CL
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ArXiv CS.CL
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Understanding how minor prompt variations trigger unintended biases and hallucinations is critical for building robust, reliable AI systems. This research exposes the fragility of model outputs, highlighting a major hurdle in deploying LLMs for high-stakes decision-making.
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