Interference in LLM Interaction
Year: 2025
Type: article
Abstract: This research note proposes an observation-level framework for identifying interference patterns in large language model interaction. It introduces a minimal diagnostic protocol to distinguish task-contingent effects of cultural default framing, decoding variance, and agreement shift, without making claims about internal model mechanisms.
Author: Blüm, Thomas A.
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7117405984