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Author

Himan Abdollahpouri

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Book Open access Sep 2026

Intent-Description Anchoring Bias in LLM-as-a-Judge Evaluation of Recommender Systems

Large Language Models (LLMs) are increasingly used to evaluate recommendation systems, but are known to exhibit systematic biases. We study whether LLM judges are influenced by descriptions of a recommendation algorithm’s optimization objective, even when evaluating identical recommendation outputs. We find that they a...

Himan Abdollahpouri, Kyle Kretschman, M. Lalmas · 0 citations
Book Open access Sep 2026

Intent-Description Anchoring Bias in LLM-as-a-Judge Evaluation of Recommender Systems

It is found that LLM judges are influenced by descriptions of a recommendation algorithm’s optimization objective, even when evaluating identical recommendation outputs, a phenomenon the authors term intent-description anchoring bias.

Himan Abdollahpouri, Kyle Kretschman, M. Lalmas · 0 citations

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