研究发现LLM Agent存在网站来源偏好，常因URL而非质量选择条目

LLM agents favor items from certain websites, often picking a worse item because of where it came from.

When a product listing omits the price, agents fill the gap with beliefs like Walmart being cheaper and pick by store name.

Agent models largely agree on which sites to trust, with 10 of 12 preferring Booking .com while half avoid Expedia for equally good hotels.

Agents in scholarly search lean toward arXiv, OpenReview and ACL Anthology and away from Medium, Reddit and YouTube, even for equally relevant results.

Putting a favored site's URL on the exact same item raised its pick rate in every model, and hiding URLs weakened the preference.

With no price listed, models guessed from the store name, and adding the same price to both items cut the favored store's pick rate by up to 28.3 points. Fine-tuning can build the same habit when one source keeps labeling the winning item.