How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
The study investigated how LLM-generated text affects term-based retrieval models, which are efficient but can show preference for machine content. Linguistic analysis showed LLM texts have different word frequency patterns than human text. The core finding is that retrieval models don't have inherent source bias; instead, they favor documents whose word distributions closely match the query's distribution.