Exploring LLM biases to manipulate AI search overview
Modern large language models (LLMs) are used in many business applications in general, and specifically in web search systems and applications that generate overviews of search results - LLM Overview systems. Such systems are using an LLM to select most relevant sources from search results and generate an answer to the user's query. It is known from many studies that LLMs have different biases, in LLM Overview application both the source selection and answer generation stages may be affected by the biases of LLMs (here we are focusing mainly on the selection stage). This research is focused on investigating the presence of the biases in LLM Overview systems and on biases exploitation to m...
| Authors | Roman Smirnov |
|---|---|
| Primary category | cs.IR |
| Published | 30 March 2026 |
| Last updated at source | 30 March 2026 |
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